AiAiHealthcare / ProjectAiAiLinks
AiAi.care project is teaching computers to "see" chest X-rays and interpret them how a human Radiologist would. We are using 700,000 Chest X-Rays + Deep Learning to build an FDA 💊 approved, open-source screening tool for Tuberculosis and Lung Cancer. After an MRMC clinical trial, AiAi CAD will be distributed for free to emerging nations, charit…
☆107Updated 4 years ago
Alternatives and similar repositories for ProjectAiAi
Users that are interested in ProjectAiAi are comparing it to the libraries listed below
Sorting:
- DLTK Model Zoo☆113Updated 7 years ago
- ☆77Updated 7 months ago
- ☆74Updated last year
- Codes for paper: Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach☆71Updated 5 months ago
- Identifying diseases in chest X-rays using convolutional neural networks☆98Updated 7 years ago
- Lung fields segmentation on CXR images using convolutional neural networks.☆176Updated 5 years ago
- High-resolution breast cancer screening with multi-view deep convolutional neural networks☆159Updated 7 years ago
- UNet deep learning model for medical image segmentation☆48Updated last year
- Lung fields segmentation on tomography images using convolutional neural networks.☆98Updated 8 years ago
- Neural networks to segment some type of biomedical images☆21Updated 7 years ago
- ☆37Updated 7 years ago
- Breast density classification with deep convolutional neural networks☆169Updated 7 years ago
- Example code on how to apply machine learning methods to medical images. Contains code (python and python notebooks) and data (DICOM)☆102Updated 7 years ago
- A platform for end-to-end development of machine learning solutions in biomedical imaging☆184Updated this week
- ☆60Updated 6 years ago
- A Deep Learning talk+tutorial for medical image processing☆77Updated 8 years ago
- Our solution for ICIAR 2018 Grand Challenge☆193Updated 4 years ago
- Axon/Myelin segmentation using Deep Learning☆122Updated last week
- An object relational mapping for the LIDC dataset using sqlalchemy.☆107Updated last year
- Active Deep Learning for Medical Imaging Segmentation☆280Updated 2 years ago
- Segmentation of prostate from MRI scans☆44Updated 4 years ago
- Anonymized dataset of COVID-19 cases with a focus on radiological imaging. This includes images (x-ray / ct) with extensive metadata, suc…☆44Updated 4 years ago
- Extended Retinopathy Detection Challenge with the Regression Activation Map for visual explaination☆89Updated 8 years ago
- ☆24Updated 7 years ago
- Instructions on how to dockerize your algorithm and additional info, as applied in the BraTS challenge☆24Updated 4 years ago
- Intelligent disease prediction system that can help radiologists review Chest X-rays more efficiently.☆86Updated 6 years ago
- InnerEye dataset creation tool for InnerEye-DeepLearning library. Transforms DICOM data into mask for training Deep Learning models.☆20Updated last year
- X-ray Images (Chest images) analysis and anomaly detection using Transfer learning with inception v2☆111Updated 7 years ago
- An implementation of Unet for pytorch designed for digital pathology segmentation☆124Updated 2 years ago
- This is supplementary material for the manuscript: "Semantic Segmentation of Pathological Lung Tissue with Dilated Fully Convolutional Ne…☆32Updated 7 years ago