Alternatives and similar repositories for models

Users that are interested in models are comparing it to the libraries listed below

• analysiscenter / radio
  RadIO is a library for data science research of computed tomography imaging
  ☆225Updated 3 years ago
• nyukat / breast_density_classifier
  Breast density classification with deep convolutional neural networks
  ☆171Updated 7 years ago
• chuckyee / cardiac-segmentation
  Right Ventricle Cardiac MRI Segmentation
  ☆277Updated 8 years ago
• GUR9000 / Deep_MRI_brain_extraction
  3D convolutional neural network for MRI brain extraction
  ☆125Updated 4 years ago
• ncullen93 / Unet-ants
  UNet deep learning model for medical image segmentation
  ☆49Updated 2 years ago
• slowvak / MachineLearningForMedicalImages
  Example code on how to apply machine learning methods to medical images. Contains code (python and python notebooks) and data (DICOM)
  ☆102Updated 8 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
• imedslab / DeepKnee
  Codes for paper: Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach
  ☆75Updated 9 months ago
• josedolz / LiviaNET
  This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convoluti…
  ☆164Updated 6 years ago
• alxndrkalinin / awesome-deepneuroimage
  A curated list of awesome deep learning applications in the field of neurological image analysis
  ☆151Updated 7 years ago
• NYUMedML / DARTS
  Code for DARTS: DenseUnet-based Automatic Rapid Tool for brain Segmentation
  ☆69Updated 2 years ago
• notmatthancock / pylidc
  An object relational mapping for the LIDC dataset using sqlalchemy.
  ☆113Updated last year
• alexander-rakhlin / ICIAR2018
  Our solution for ICIAR 2018 Grand Challenge
  ☆193Updated 5 years ago
• axondeepseg / axondeepseg
  Axon/Myelin segmentation using Deep Learning
  ☆123Updated 2 weeks ago
• QTIM-Lab / DeepNeuro
  A deep learning python package for neuroimaging data. Made by:
  ☆129Updated 5 years ago
• KeremTurgutlu / dicom-contour
  ☆74Updated 2 years ago
• vuptran / cardiac-segmentation
  Convolutional Neural Networks for Cardiac Segmentation
  ☆111Updated 8 years ago
• nyukat / BIRADS_classifier
  High-resolution breast cancer screening with multi-view deep convolutional neural networks
  ☆161Updated 7 years ago
• mdai / ml-lessons
  Intro to deep learning for medical imaging lesson, by MD.ai
  ☆268Updated 4 years ago
• imlab-uiip / lung-segmentation-3d
  Lung fields segmentation on tomography images using convolutional neural networks.
  ☆98Updated 8 years ago
• usuyama / pydata-medical-image
  A Deep Learning talk+tutorial for medical image processing
  ☆77Updated 8 years ago
• imlab-uiip / lung-segmentation-2d
  Lung fields segmentation on CXR images using convolutional neural networks.
  ☆175Updated 5 years ago
• delira-dev / delira
  Lightweight framework for fast prototyping and training deep neural networks with PyTorch and TensorFlow
  ☆220Updated 5 years ago
• google-deepmind / tcia-ct-scan-dataset
  Dataset of head and neck CT scans and segmentations in NRRD format.
  ☆99Updated 5 years ago
• BRML / CNNbasedMedicalSegmentation
  Code for reproducing the results of our paper on CNN-based medical image segmentation
  ☆87Updated 8 years ago
• renato145 / fastai_scans
  Fastai extension to work with 3d medical images
  ☆41Updated 6 years ago
• ieee8023 / medical-reading-group
  ☆57Updated 5 years ago
• zl376 / segDGM_CNN
  Segment Deep Gray Matter on QSM images using 3D CNN
  ☆19Updated 7 years ago
• cauchyturing / kaggle_diabetic_RAM
  Extended Retinopathy Detection Challenge with the Regression Activation Map for visual explaination
  ☆89Updated 8 years ago
• gradienthealth / gradient_decode_dicom
  🏨Gradient Health DICOM operation for Tensorflow
  ☆51Updated 6 years ago