Alternatives and similar repositories for ml-lessons

Users that are interested in ml-lessons are comparing it to the libraries listed below

• alexander-rakhlin / ICIAR2018
  Our solution for ICIAR 2018 Grand Challenge
  ☆193Updated 4 years ago
• imlab-uiip / lung-segmentation-2d
  Lung fields segmentation on CXR images using convolutional neural networks.
  ☆177Updated 5 years ago
• brucechou1983 / CheXNet-Keras
  This project is a tool to build CheXNet-like models, written in Keras.
  ☆300Updated 2 years ago
• gregwchase / nih-chest-xray
  Identifying diseases in chest X-rays using convolutional neural networks
  ☆98Updated 7 years ago
• lishen / end2end-all-conv
  Deep Learning to Improve Breast Cancer Detection on Screening Mammography
  ☆384Updated 3 years ago
• jrzech / reproduce-chexnet
  Reproduce CheXNet
  ☆198Updated 2 years ago
• mikevoets / jama16-retina-replication
  JAMA 2016; 316(22) Replication Study
  ☆114Updated 6 years ago
• ImagingLab / ICIAR2018
  Two-Stage Convolutional Neural Network for Breast Cancer Histology Image Classification. ICIAR 2018 Grand Challenge on BreAst Cancer Hist…
  ☆213Updated 5 years ago
• usuyama / pydata-medical-image
  A Deep Learning talk+tutorial for medical image processing
  ☆77Updated 8 years ago
• riblidezso / frcnn_cad
  Computer aided detection using Faster-RCNN
  ☆105Updated 7 years ago
• marc-gorriz / CEAL-Medical-Image-Segmentation
  Active Deep Learning for Medical Imaging Segmentation
  ☆280Updated 2 years ago
• nyukat / breast_density_classifier
  Breast density classification with deep convolutional neural networks
  ☆169Updated 7 years ago
• perone / medicaltorch
  A medical imaging framework for Pytorch
  ☆871Updated last year
• analysiscenter / radio
  RadIO is a library for data science research of computed tomography imaging
  ☆225Updated 3 years ago
• nyukat / BIRADS_classifier
  High-resolution breast cancer screening with multi-view deep convolutional neural networks
  ☆159Updated 7 years ago
• alexattia / Medical-Image-Analysis
  Detection and segmentation of the Left Ventricle in Cardiac MRI using Deep Learning and Deformable models
  ☆56Updated 7 years ago
• thtang / CheXNet-with-localization
  Weakly Supervised Learning for Findings Detection in Medical Images
  ☆321Updated 3 years ago
• swethasubramanian / LungCancerDetection
  Use CNN to detect nodules in LIDC dataset.
  ☆245Updated 6 years ago
• chuckyee / cardiac-segmentation
  Right Ventricle Cardiac MRI Segmentation
  ☆279Updated 7 years ago
• jadevaibhav / Brain-Tumor-Segmentation-using-Deep-Neural-networks
  Keras implementation of paper by the same name
  ☆96Updated 6 years ago
• imedslab / DeepKnee
  Codes for paper: Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach
  ☆74Updated 7 months ago
• zoogzog / chexnet
  Implementation of the CheXNet network (PyTorch)
  ☆224Updated 6 years ago
• 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 Ches…
  ☆107Updated 5 years ago
• cauchyturing / kaggle_diabetic_RAM
  Extended Retinopathy Detection Challenge with the Regression Activation Map for visual explaination
  ☆89Updated 8 years ago
• DLTK / models
  DLTK Model Zoo
  ☆113Updated 7 years ago
• naldeborgh7575 / brain_segmentation
  ☆307Updated 7 years ago
• Jack-Etheredge / Brain-Tumor-Segmentation-3D-UNet-CNN
  Brain tumor segmentation using a 3D UNet CNN
  ☆113Updated 6 years ago
• gregwchase / eyenet
  Identifying diabetic retinopathy using convolutional neural networks
  ☆200Updated 4 years ago
• imedslab / OAProgression
  Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data
  ☆83Updated 3 years ago
• yala / OncoNet_Public
  Developing Deep Learning Models for Mammography
  ☆37Updated 5 months ago