Hsuan lung jobs

I'm looking for an experienced professional to create an electronic nose instrument that can effectively detect lung cancer in its early stages through analyzing exhale breath. The device needs to be designed with medical professionals and researchers in mind, offering high-accuracy results. Key Features: - Real-Time Breath Analysis: The device must be able to analyze breath in real-time, allowing for immediate results and analysis. - User-Friendly Interface: The interface should be intuitive and easy to navigate, ensuring that medical professionals and researchers can operate the device with minimal training. - Compact and Portable Design: The device should be designed to be compact and portable, allowing for easy transport and use in various settings. I am looking for a pro...

...individual, that kind of exposure is going to manifest a little bit differently." Although, none of the injuries were considered life-threatening at the time, Smith says that their exposure can result in long-term health risks. "The kind of injuries that can result from acute high exposures to anhydrous ammonia vapors are in very simple terms the scarring and, or death or fibrosis of the tissue of your lung," Smith said. The lawsuit says the ammonia alarms in many buildings were not operational and many employees exited the building where the leak had occurred because they were alerted of the leak by a co-worker from a text message. Brookshire declined CBS19’s request for an interview but did provide the following statement: "Brookshire Grocery Co. ...

I'm in need of a heatmap that visualises the correlation between coal power plants' locations and lung cancer rates in surrounding areas. Key components of the map: - Display of coal plant locations - Visualization of lung cancer rate data in relation to these locations - Use of color intensity to highlight areas with higher correlation I am ideally looking for a freelancer with a proficient understanding of data visualization, particularly with heatmaps. Experience in using demographic and geographic data would be beneficial. Knowledge in health sector data might also prove useful in understanding the context better.

Project Description: We are seeking a highly skilled and creative web graphic designer to provide a comprehensive graphic design solution for our web application, tailored specifically for use by radiologists. This application is a pivotal tool in our radiology clinic, enhancing the workflow and decision-making process in lung nodule management, lung cancer screening, and occupational lung screening. Project Objectives: To create a visually appealing, intuitive, and user-friendly design that aligns with the needs and workflows of radiologists. To provide full design documentation and styling code, meticulously crafted in SCSS, ensuring a seamless integration with our development framework. Technical Requirements: Full Design and SCSS Styling Code: The des...

I am looking for a radiologist who can provide a comprehensive analysis of a CT Angiography scan of the lungs. This analysis will primarily focus on the detection of abnormalities, potential causes of a chronic cough, and any recommendations for further tests. Key responsibilities will include: - Analyzing the scan and identifying any abnormalities in the lung structures - Making recommendations for further tests based on findings - Reviewing the scan, relative to previous scans, to note any changes or developments - Highlighting all possible causes of the chronic cough evident from the scan in the context of the radiographic findings The report must be in standard medical format. Prior experience in radiology reporting, particularly in the area of respiratory health, would be b...

I'm looking for a skilled designer with a knack for logo creation for our project, the Communication of the Lung with the Brain in Health and Disease (CLUB). Our goal is understanding and assessing lung disease and its vital impact on brain pathology. The logo should adeptly reflect this purpose. Ideal Skills and Experience: - Experience in medical or scientific-themed designs - Ability to convey complex concepts visually - Strong portfolio showcasing previous similar work - Deadline-driven to complete the project ASAP Remember, this logo is crucial for our brand's identity, so creativity and dedication are highly appreciated.

I'm seeking an experienced developer to construct an AI system capable of analyzing radiology images for multi-cancer detection. The successful candidate will need proficiency in relevant coding languages and an understanding of medical imaging. Key requirements include: - Creating an AI system that can detect Breast, Lung, Blood, Skin, and Brain cancer. - The system should provide a detailed analysis with stage/subtype information. Offering more than a simple binary (cancer/no cancer) output. - The AI should work with various image modalities, including MRI Scans, CT Scans, Ultrasound Images, and X-rays. -The system should be giving accurate accuracy on the inputs given. This project would suit individuals with a background in medical imaging, AI development, and computer sc...

I'm looking for a talented graphic designer who can create a range of marketing materials aimed at enhancing brand awareness for our health company. Our company focuses on Lung nodule detection and management, with the aim of identifying lung cancer early. Our materials will cater to an adult audience, spanning young adults to seniors, requiring designs that communicate our message in a professional yet informative manner. **What You'll Do:** - Design pamphlets, posters, marketing brochures, and patient information guides that resonate with our diverse adult audience. - Ensure materials combine visual appeal with clarity, making health information accessible and engaging. - Apply a professional and informative tone throughout all designs, reflecting our commitment ...

I am seeking an expert who can carry out a detailed comparative study on several models including Swin Transformer V2, ResNet, VGG, ViT, and TBXNet, on a dataset of .DICOM x-ray images of lung tuberculosis. The main purpose of this project is to evaluate the applicability of these models to this specific dataset. You'll need to: - Implement Swin Transformer V2 model correctly - Normalize the dataset as a form of pre-processing - Evaluate the performance of each model by calculating necessary evaluation metrics - Clear documentation of the processes You should have strong knowledge and experience in Machine Learning and familiar with the aforementioned models. Proficiency in handling .DICOM images will be a plus. You must be able to interpret results and provide clear expl...

I am seeking an expert who can carry out a detailed comparative study on several models including Swin Transformer V2, ResNet, VGG, ViT, and TBXNet, on a dataset of .DICOM x-ray images of lung tuberculosis. The main purpose of this project is to evaluate the applicability of these models to this specific dataset. You'll need to: - Implement Swin Transformer V2 model correctly - Normalize the dataset as a form of pre-processing - Evaluate the performance of each model by calculating necessary evaluation metrics - Clear documentation of the processes You should have strong knowledge and experience in Machine Learning and familiar with the aforementioned models. Proficiency in handling .DICOM images will be a plus. You must be able to interpret results and provide clear expl...

...the GAN model, which I already have available. The main goal of this project is to develop a GAN model that can generate realistic and diverse chest X-ray images, while also addressing the class imbalance issue and incorporating data augmentation techniques, which enhances the lung nodule detection in the images using RF and SVM as classifier. and calculate their efficiency using ROC, f1 scores.. and then transfer the same model using transfer learning to the CT images dataset and calculate efficiency in detecting lung nodules using RF and SVM If you have experience in this field and are interested in contributing to academic research, please submit your proposal. This is a great opportunity to apply your ML skills to a real-world problem and make a valuable contribution ...

I am seeking an advanced GAN model to be trained on both chest X-rays and CT images. The goal is to use RF and SVM in detecting lung nodules for medical analysis. Even though identifying key characteristics of the nodules will not be a requirement, the model should be able to provide a moderate level of accuracy, specifically between 80-95%. First the model on gan need to be built, and trained on chest x rays and then transfer learning needs to be performed on ct images using the xrays model and efficiency needs to be calculated for both the model Ideal Skills and Expertise: - Strong background in GAN models and medical imaging - Proficiency in RF and SVM methods - Proven track record of developing AI models with moderate accuracy

I am looking for a skilled and experienced developer to work on a personal project involving the use of CNN by pyspark for analyzing brain and lung cancer. Skills and Experience: - Proficient in using pyspark and CNN - Intermediate understanding of convolutional neural networks - Familiarity with analyzing medical data - Experience in working with cancer-related datasets - Strong problem-solving skills and attention to detail The project requires the use of specific datasets, which I already have. However, any additional assistance in acquiring relevant datasets would be appreciated. The ideal candidate should have a good understanding of CNN and be able to apply it using pyspark. Experience in analyzing medical data and working with cancer-related datasets would be a plus. If ...

I am looking for a skilled developer to implement a deep learning framework for the detection and classification of lung diseases using chest X-ray datasets. The preferred framework for this project is TensorFlow and can use any recent CNN based hybrid models. Dataset: - The client does not have a specific X-ray dataset and requires assistance in finding a suitable one. Classification Model: - The desired accuracy for the classification model is more than 95% with other paramters like f1 score, recall, precision along with suitable graphs and plots. Skills and Experience: - Strong proficiency in Python is required. - In-depth knowledge and experience in implementing deep learning frameworks, specifically TensorFlow and libraries. - Familiarity with working with chest X-ray datase...

Good morning, Dr. Rizvan. I am sending you a quote for the first draft of the paper: "Clinicopathological Analysis of STK11/LKB1-Mutated Adenocarcinomas in Non-Small Cell Lung Cancer: A Retrospective Study." This includes the abstract, background, materials and methods, histopathological description, editing of 6 photos, 3 tables, discussion, conclusion, and 48 bibliographic references in APA format. Along with this, I will attach a zip file containing copies of the references used in PDF format.

My project requires the development of a deep learning model to detect lung cancer in its early stages. To achieve this, I will need assistance in obtaining a suitable labeled dataset for training the deep learning model. In terms of the type of deep learning model, my preference is for a convolutional neural network (CNN). This is due to the fact that CNNs excel at image analysis and data extraction from medical imaging. The project timeline is expected to be less than 1 month.

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...that time. I should have (at the most) barely maintained my beginning weight of 204 pounds. Instead I gained 22 pounds and weighed 226 pounds at the time of my discharge after 4.5 days in the hospital without food. Nobody noticed or cared what was happening. 22 pounds is nearly 3 gallons of excess infused IV fluids. I suffered every symptom of Hypervolemia/Fluid Overload. I had water in my left lung. The extreme edema in my legs, feet and toes made it look like the skin was ready to burst. (I have photos). I suffered multiple dangerous heart arrhythmias, acute heart failure, and acute kidney failure. The infused water absolutely filled every available interstitial space, including my scrotum, which eventually was filled to the size of a softball. My liver swelled up and extende...

I have ongoing work related to our previous project 'Human body lung, heart, gut music orchestra Tik Tok teaching video'

Scroll Images 3D MPR: Coronal/Sagital/Axial Preset window settings for Computed Tomography (lung, bone, etc.) Measurements Zooming and panning Brightness and contrast adjustments, negative mode Attenuation Value: Mean, minimum and maximum parameter values (e.g. density in Hounsfield Units in Computed Tomography) within circle/ellipse and its area) Cloud based and Windows App

Project Title: AI Cloud GPU Am nevoie de o persoana din Bucuresti sau si din alt Judet care sa se ocupe sa construiasca cloud gpu, detin 3080 rtx si 3070 rtx in jur de 200 de buc, hala dedicata! Am nevoie pe termen lung sa te ocupi de intretinere site etc! I am looking for a freelancer to help me build a GPU cloud for specific AI tasks. Specific AI tasks: - Image recognition - Natural language processing - Recommender system Requirements for the cloud GPU: - I require a specific GPU model Timeline for the completion of this project: - More than 4 weeks Ideal skills and experience for the job: - Experience in building GPU clouds - Knowledge of image recognition, natural language processing, and recommender systems - Familiarity with different GPU models and their capabilit...

1. Belloscope Streaming - Develop a streaming feature for Belloscope that allows for both appointment sessions and meetings. - Enable the streaming of Belloscope sessions and meetings. 2. Apk Generation Issue - Investigate...Streaming - Develop a streaming feature for Belloscope that allows for both appointment sessions and meetings. - Enable the streaming of Belloscope sessions and meetings. 2. Apk Generation Issue - Investigate and resolve the problem with generating the APK file for the mobile application. 3. Enhance Belloscope Audio and Video Data - Enable the collection and processing of heart sound and lung sound data for both audio and video inputs in Belloscope. 4. Improve App Performance - Optimize the application's loading time to reduce us...

...research-based content on lung disease classification using a Hybrid CNN algorithm. The ideal candidate should have experience in technical writing and be able to write in a technical style. The content should contain proper explanation about framework used, diagrams and results in form of charts and metrics. Purpose: - The content will be research-based, providing in-depth information on lung disease classification using the Hybrid CNN algorithm. Style and Tone: - The content should be written in a technical style, catering to an audience with a background in the field. Length: - The desired length of the content is 8 to 10 pages, providing a comprehensive and detailed exploration of the topic. Skills and Experience: - Strong background in technical writing - Know...

...a deep learning framework for the detection and classification of lung diseases using a chest X-ray dataset. Firstly, we need to address the problem of class imbalance problem of chest x-ray image dataset and then, classify the lung diseases using different CNN based algorithms and obtain comparison charts of parameters like accuracy, precision, recall etc. Need is to enhance the performance of the existing models as mentioned in the attached document and reduce the loss by using some hybrid approaches. Want clear diagram of the framework used along with codes and comparison charts in results. Dataset: - I need assistance in obtaining the labeled chest X-ray dataset. Focus: - We will be focusing on a broad range of lung diseases. Framework: - The preferred deep...

I have a paper that proposed a hybrid framework, I want the code of "a lung cancer deep convolutional GAN (LCGAN) to generate synthetic lung cancer images". It was based on DCGAN but they have some differences in the architecture. The project requests important points: 1- Write the code in Python programing language using Pytorch in Google Colaboratary 2- Explain each build layer and the details of this layer; how and why (the purpose of changing it) 3- Write explain comment for every function 4- Explain how can dwnload the images are generated from the model on my drive 5- How i can use the same code with different dataset with different size such as: 512*512 640*640 1536*2048 6- Describes the steps to run the project 7- Firstly used the same dataset in the paper ...

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I am looking for a computer vision system to detect objects with moderate accuracy. Specifically, the system should be able to detect nodules in the lung. The system should be capable of performing object detection with moderate accuracy. Experience in the field of computer vision is essential. Please let me know if you have the skills and experience necessary to successfully deliver this project.

I am looking for a skilled freelancer who can adapt my TCM (Traditional Chinese Medicine) drawings into educational materials. The purpose of the drawings is to provide students with clear and concise illustrations that will help them understand TCM concepts. The ideal candidate should have experience in creating educational materials and be...educational materials - Follow a list of specific elements that must be included in the drawings - Create realistic drawings that accurately represent TCM concepts Skills and experience: - Experience in creating educational materials - Skilled in adapting existing drawings - Proficient in creating realistic drawings that accurately represent TCM concepts Please quote the work for doing: - one meridian: Lung Meridian - all the 12 Meridians. ...

...Wellbeing Association (WHO) delivered another rule advising against the utilization of non-sugar sugars for weight reduction and weight the board. The rule additionally addressed staying away from the utilization of non-sugar sugars to diminish the gamble of noncommunicable infections (think conditions brought about by long haul medical problems, as cardiovascular sickness, diabetes, tumors and ongoing lung ailments). The rules are not simply coordinated towards grown-ups — the WHO says that the proposal additionally applies to youngsters and pregnant and lactating ladies, yet not to people with prior diabetes. These proposals are dependent on a broad survey that recommended expected outcomes of consuming sugar options in the long haul. Among these adverse consequences note...

I have primary lung cancer variant for which a biomarker cannot be identified. Keytruda was prescribed solely based on positive TTF-1 results. Keytruda is keeping the cancer under control; however, why and for how long is indeterminate. The task is for an AI medical consultant to find the best suited AI system to determine exactly what variant of primary lung cancer I have and then compile electronic medical records for optimized AI use.

Am nevoie de cineva care poate randa o casa si sa imi exporte in mp4 un scurt video cu zoom in si zoom out urile date de mine. Caut furnizori locali pe termen lung!

Lung cancer is one of the most common diseases, and it has the highest morbidity and mortality rates of any cancer worldwide. As reported by global cancer statistics [1], there were 2.1 million new cases and 1.8 million deaths from lung cancer in 2018. Approximately one in five cases (18.4%) of lung cancer leads to death. In oncology, medical imaging plays a vital role in reducing the mortality rate. Imaging is a non-invasive and painless procedure with the least harmful side eects for patients. It can provide detailed anatomical information about the disease by generating visual representations of tumors. Unlike other invasive methods such as surgeries and biopsies which extract and study a small portion of tumor tissue, imaging can give a more comprehensive view and...

...through the drain. And the description of the injuries: Her left hand was next to a storm drain that was under repair....Two of the firefighters were EMTs and immediately started to treat her injuries.....They had determined that she had two major injuries. Any hunter who has ever brought down game with a shot to the lungs would easily identify the frothy blood oozing from her mouth as a fatal lung wound if not treated in time. The victim slowly suffocates as the lungs fill with blood and starves the brain of oxygen. Blood draining from the nose and wound stretching from just below her cheek bone to her right ear did not froth, it was draining from inside the crushed portion of the head....

I am looking for a Flutter mobile application developer to create a lung disease application. The application should have features for asthma and COPD tracking, weather forecast, daily journal, and reading materials. It should be capable of recording and monitoring symptoms and medications for the users, as well as providing educational resources like videos, articles, images, etc. The application should also be able to provide personalized recommendations to its users based on their individual needs. The goal is to provide a comprehensive tool that can help manage and improve lung health.

...scratch. Each image will have to show the picture of the journal cover or the website of the journal. If you add a journal cover, make it 3d to stand out. Image suggestion 1: An image of a stethoscope or a lung x-ray can be used to represent the respiratory medicine field. Text over the image: "Breathing new life into respiratory medicine" Image 2: An image of a doctor or a team of medical professionals can be used to represent the Respiratory Medicine field. Text over image: Empowering Respiratory Medicine Professionals Image 3: An image of a respiratory system diagram or a lung function test can be used to represent the respiratory medicine field Text over image: Unlock the secrets of Respiratory Medicine Image 4: An image of a respiratory medicine confe...

It is the task one for the various lung diseases prediction

Firstly, we need to have a large dataset containing images of covid19, pneumonia, Tuberculosis and Lung cancer Then we have to train the dataset using different algorithms like. VGG16, VGG19, LSTM, CNN,RESNET etc. And after training the images, we have to test the images and classify them into categories. Need is to enhance the accuracy of the existing frameworks and reducing the loss of the model by using some hybrid approaches.

I live in a 800 sq foot condo and mold was everywhere. I wiped everything down and called my insurance company. Apparently they only want to replace my lower kitchen cabinets and 4 ft. of the wall in the dining room that backs up to it. There was mold everywhere and I believe all the cabinets need to be replaced. I have a lung disease called Sarcoidosis and x-rays have shown an increase in damage in my lungs. I need help immediately before the insurance company starts work on this limited section of my house. Thank you, Susan Kaufhold

Hello, I would like to work with Vision transformers expert. I want to train NIH CXR dataset on Vision transformers model only to detect lung tuberculosis.

Have a project of CNN for for lung Dataset available in kaggle. I am travelling so won't be available often. Need a f1 score of 90+. Only if you have experience implementing CNN image dataset with optimization and ready to start soon then bid thanks. Need to try resnet152, inceptionnet, Vgg and combinations stacking layers. Will pay a bonus if implemented within a day. Since it's a commonly used data you don't need to start from scratch below notebook and others in kaggle will have eda, preprocessing n all. No extra amount other than quote and bonus will be given. Link for data n reference: Timeline:1-2 days

Căutăm colaborare pe termen lung pentru a realiza diferite update-uri pentru aplicația noastră mobilă care deja este publicată pe AppStore și Google Play. Android: Apple: Aplicația este construită în React Native și folosește Firebase.

Hi Yu Hsuan H., I noticed your profile and would like to offer you my project. We can discuss any details over chat.

...project is about creating a Hybrid model for the classification of lung, colon, and breast cancer using histopathological images. There are two datasets one dataset contains lung and colon cancer histopathological images and the other dataset contains breast cancer histopathological images. The histopathological images in the lung and colon dataset must be converted from bgr to rbg. The dataset needs to be divided into 80% training and 20% testing. The CNN model that will be used will be ResNet-50. I need someone who knows how to do the training (/labeling if required) for the dataset and can write the python code for the project using google colab. The output will be when I give the code an image it tells me if the given image is lung, colon, or breast and i...

...caretakers are not able to maintain the social distance to patients. In this paper, our proposed work is a automatic ultra sound imaging for detecting the lungs to find the covid-19 lung injury to compare monitoring modalities like radiographic or auscultation imaging, In “ultra sound” technology provides high diagnostic accuracy. In depth of data and color control using Multinomial Tactic Regression (MTR) algorithm for better performance a automatic lung image extraction using Convolutional Structural Network (CSN) and Natural Language Processing (NLP) technique are easily detect and improve performance for lung sound image noise reduction comparison an deep learning algorithm annotation process for ultra sound images is a complex and time consuming tas...

Cautam partener pe termen lung pentru administrarea campaniilor de marketing online google , optimizare SEO lunara si creare de continut inclusiv landing pages de generare lead-uri pentru un website de nisa in Romania .

Deep learning in lung cancer classification

An alexa skill for counting while planking, and while using a 'Breather' lung exerciser device

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