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
  ☆224Updated 3 years ago
• nyukat / breast_density_classifier
  Breast density classification with deep convolutional neural networks
  ☆169Updated 7 years ago
• chuckyee / cardiac-segmentation
  Right Ventricle Cardiac MRI Segmentation
  ☆279Updated 7 years ago
• GUR9000 / Deep_MRI_brain_extraction
  3D convolutional neural network for MRI brain extraction
  ☆124Updated 4 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 4 years 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 5 years ago
• ncullen93 / Unet-ants
  UNet deep learning model for medical image segmentation
  ☆48Updated last year
• imedslab / DeepKnee
  Codes for paper: Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach
  ☆70Updated 4 months ago
• nyukat / BIRADS_classifier
  High-resolution breast cancer screening with multi-view deep convolutional neural networks
  ☆158Updated 7 years ago
• alexander-rakhlin / ICIAR2018
  Our solution for ICIAR 2018 Grand Challenge
  ☆193Updated 4 years ago
• NYUMedML / DARTS
  Code for DARTS: DenseUnet-based Automatic Rapid Tool for brain Segmentation
  ☆69Updated last year
• slowvak / MachineLearningForMedicalImages
  Example code on how to apply machine learning methods to medical images. Contains code (python and python notebooks) and data (DICOM)
  ☆100Updated 7 years ago
• axondeepseg / axondeepseg
  Axon/Myelin segmentation using Deep Learning
  ☆123Updated this week
• ieee8023 / medical-reading-group
  ☆56Updated 5 years ago
• KeremTurgutlu / dicom-contour
  ☆74Updated last year
• google-deepmind / tcia-ct-scan-dataset
  Dataset of head and neck CT scans and segmentations in NRRD format.
  ☆95Updated 5 years ago
• zl376 / segDGM_CNN
  Segment Deep Gray Matter on QSM images using 3D CNN
  ☆18Updated 6 years ago
• usuyama / pydata-medical-image
  A Deep Learning talk+tutorial for medical image processing
  ☆77Updated 8 years ago
• alxndrkalinin / awesome-deepneuroimage
  A curated list of awesome deep learning applications in the field of neurological image analysis
  ☆152Updated 7 years ago
• mdai / ml-lessons
  Intro to deep learning for medical imaging lesson, by MD.ai
  ☆266Updated 4 years ago
• QTIM-Lab / DeepNeuro
  A deep learning python package for neuroimaging data. Made by:
  ☆127Updated 5 years ago
• delira-dev / delira
  Lightweight framework for fast prototyping and training deep neural networks with PyTorch and TensorFlow
  ☆220Updated 4 years ago
• notmatthancock / pylidc
  An object relational mapping for the LIDC dataset using sqlalchemy.
  ☆106Updated 11 months ago
• renato145 / fastai_scans
  Fastai extension to work with 3d medical images
  ☆41Updated 6 years ago
• mattiaspaul / OBELISK
  MIDL 2018 / MEDIA 2019: one binary extremely large and inflecting sparse kernel (pytorch)
  ☆44Updated 5 years ago
• mingrui / AI-in-Medical-Imaging
  ☆37Updated 7 years ago
• ai-med / quickNAT_pytorch
  PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using…
  ☆104Updated 4 years ago
• josedolz / SemiDenseNet
  Repository containing the code of one of the networks that we employed in the iSEG Grand MICCAI Challenge 2017, infant brain segmentation…
  ☆55Updated 7 years ago
• imlab-uiip / lung-segmentation-3d
  Lung fields segmentation on tomography images using convolutional neural networks.
  ☆98Updated 8 years ago
• cvdlab / nn-segmentation-for-lar
  Neural networks to segment some type of biomedical images
  ☆21Updated 7 years ago