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 5 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
- Identifying diseases in chest X-rays using convolutional neural networks☆98Updated 7 years ago
- ☆77Updated 10 months ago
- Lung fields segmentation on CXR images using convolutional neural networks.☆177Updated 5 years ago
- ☆74Updated 2 years ago
- Codes for paper: Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach☆75Updated 7 months ago
- UNet deep learning model for medical image segmentation☆49Updated 2 years ago
- Example code on how to apply machine learning methods to medical images. Contains code (python and python notebooks) and data (DICOM)☆103Updated 8 years ago
- ☆37Updated 7 years ago
- High-resolution breast cancer screening with multi-view deep convolutional neural networks☆159Updated 7 years ago
- Lung fields segmentation on tomography images using convolutional neural networks.☆99Updated 8 years ago
- Our solution for ICIAR 2018 Grand Challenge☆193Updated 4 years ago
- ☆23Updated 7 years ago
- Neural networks to segment some type of biomedical images☆21Updated 8 years ago
- [unmaintained] This repository hosts NiftyNet networks pre-trained for specific tasks☆51Updated 4 years ago
- This repository aims at containing all the code employed at LIVIA to segment medical images. Mainly, our research focuses on bringind the…☆56Updated 7 years ago
- Code for DARTS: DenseUnet-based Automatic Rapid Tool for brain Segmentation☆70Updated 2 years ago
- X-ray Images (Chest images) analysis and anomaly detection using Transfer learning with inception v2☆111Updated 7 years ago
- Intelligent disease prediction system that can help radiologists review Chest X-rays more efficiently.☆87Updated 7 years ago
- Code for reproducing the results of our paper on CNN-based medical image segmentation☆87Updated 8 years ago
- A Deep Learning talk+tutorial for medical image processing☆77Updated 8 years ago
- Axon/Myelin segmentation using Deep Learning☆122Updated 2 weeks ago
- Client side integration example source code and libraries for AI-Assisted Annotation SDK☆321Updated last year
- Breast density classification with deep convolutional neural networks☆170Updated 7 years ago
- InnerEye dataset creation tool for InnerEye-DeepLearning library. Transforms DICOM data into mask for training Deep Learning models.☆21Updated last year
- An object relational mapping for the LIDC dataset using sqlalchemy.☆112Updated last year
- 3D convolutional neural network for MRI brain extraction☆125Updated 4 years ago
- Segmentation of prostate from MRI scans☆44Updated 4 years ago
- Intro to deep learning for medical imaging lesson, by MD.ai☆267Updated 4 years ago
- Detection and segmentation of the Left Ventricle in Cardiac MRI using Deep Learning and Deformable models☆56Updated 7 years ago