AiAiHealthcare / ProjectAiAi
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 π 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, charitβ¦
β105Updated 4 years ago
Related projects β
Alternatives and complementary repositories for ProjectAiAi
- DLTK Model Zooβ114Updated 6 years ago
- Lung fields segmentation on tomography images using convolutional neural networks.β97Updated 7 years ago
- β76Updated last year
- Lung fields segmentation on CXR images using convolutional neural networks.β172Updated 4 years ago
- DICOM Image Segmentation with CNNs in Tensorflowβ93Updated 6 years ago
- β36Updated 6 years ago
- Fastai extension to work with 3d medical imagesβ41Updated 5 years ago
- Dataset of head and neck CT scans and segmentations in NRRD format.β88Updated 4 years ago
- Skull stripping and brain tissue segmentationβ118Updated 5 years ago
- An object relational mapping for the LIDC dataset using sqlalchemy.β105Updated 3 months ago
- Segmentation of prostate from MRI scansβ44Updated 3 years ago
- β57Updated 5 years ago
- Example code on how to apply machine learning methods to medical images. Contains code (python and python notebooks) and data (DICOM)β98Updated 7 years ago
- Material for the 2020 MONAI Bootcampβ65Updated 3 years ago
- Codes for paper: Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approachβ65Updated 9 months ago
- High-resolution breast cancer screening with multi-view deep convolutional neural networksβ154Updated 6 years ago
- Convolutional Neural Networks for Cardiac Segmentationβ107Updated 7 years ago
- Detection and segmentation of the Left Ventricle in Cardiac MRI using Deep Learning and Deformable modelsβ55Updated 6 years ago
- β102Updated 5 years ago
- β77Updated 3 months ago
- UNet deep learning model for medical image segmentationβ47Updated last year
- Kaggle Data Science Bowl 2017β38Updated 7 years ago
- Lightweight framework for fast prototyping and training deep neural networks with PyTorch and TensorFlowβ220Updated 4 years ago
- β23Updated 6 years ago
- Tensorflow implementation of the V-Net architecture for medical imaging segmentation.β93Updated 6 years ago
- Identifying diseases in chest X-rays using convolutional neural networksβ91Updated 6 years ago
- A Deep Learning talk+tutorial for medical image processingβ76Updated 7 years ago
- MS lesion segmentation using cascaded 3D convolutional neural networksβ42Updated 6 years ago