Alternatives and similar repositories for deep-learning-for-neuroimage

Users that are interested in deep-learning-for-neuroimage are comparing it to the libraries listed below

• neuropoly / gmseg
  Spinal cord gray matter segmentation using deep dilated convolutions.
  ☆45Updated 7 years ago
• tschaffter / dm-docker
  Base and example Docker images for the Digital Mammography DREAM Challenge
  ☆15Updated 8 years ago
• ELEKTRONN / ELEKTRONN
  A highly configurable toolkit for training 3D/2D CNNs and general Neural Networks (superceded by https://github.com/ELEKTRONN/elektronn3)
  ☆38Updated 3 years ago
• TJKlein / DeepNAT
  ☆19Updated 8 years ago
• mattiaspaul / BRIEFnet
  Code for MICCAI 2017 paper on binary sparse convolutions for semantic segmentation of medical images
  ☆11Updated 7 years ago
• MIC-DKFZ / probabilistic_unet
  A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.
  ☆23Updated 6 years ago
• DeepCognition / ultrasound-nerve-segmentation
  Deep Learning Tutorial for Kaggle Ultrasound Nerve Segmentation competition, using Keras
  ☆9Updated 8 years ago
• torms3 / DataProvider
  ☆11Updated 4 years ago
• denti / AlexNet3D
  This is implementation of AlexNet(2012) with 3D Convolution on TensorFlow (AlexNet 3D).
  ☆42Updated 7 years ago
• kaspermarstal / BrainNet
  Brain segmentation with TensorFlow
  ☆12Updated 7 years ago
• alxndrkalinin / awesome-deepneuroimage
  A curated list of awesome deep learning applications in the field of neurological image analysis
  ☆151Updated 7 years ago
• QTIM-Lab / qtim_Tutorials
  Jupyter notebooks and other tutorials for medical imaging and deep learning, courtesy of the QTIM lab.
  ☆29Updated 6 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
• omarsar / mri-analysis-pytorch
  MRI analysis using PyTorch and MedicalTorch
  ☆64Updated 6 years ago
• adalca / papago
  patch-based gaussian mixture model
  ☆15Updated 6 years ago
• ameya005 / Deep-Segmentation
  Deep Learning methods for semantic segmentation with weakly labelled data
  ☆16Updated 8 years ago
• qureai / Multi-Atlas-Segmentation
  Multi Atlas Segmentation of brain anatomy using ANTs
  ☆31Updated 8 years ago
• mitkovetta / nfbia15-deep-learning
  NFBIA Summer School 2015 Deep Learning in Medical Image Analysis
  ☆10Updated 9 years ago
• junteudjio / dicom_data_pipeline
  A production quality data pipeline for DICOM images segmentation.
  ☆12Updated 7 years ago
• deepiano / Camelyon17
  ☆15Updated 7 years ago
• alegonz / kdsb17
  Gaussian Mixture Convolutional AutoEncoder applied to CT lung scans from the Kaggle Data Science Bowl 2017
  ☆19Updated 7 years ago
• ncullen93 / Unet-ants
  UNet deep learning model for medical image segmentation
  ☆48Updated last year
• uci-cbcl / DeepEM-for-Weakly-Supervised-Detection
  MICCAI18 DeepEM: Deep 3D ConvNets with EM for Weakly Supervised Pulmonary Nodule Detection
  ☆16Updated 6 years ago
• amiralansary / DLSM
  Deep Learning Study Material
  ☆18Updated 6 years ago
• mattiaspaul / OBELISK
  MIDL 2018 / MEDIA 2019: one binary extremely large and inflecting sparse kernel (pytorch)
  ☆44Updated 5 years ago
• dchansen / radiomics
  A python implementation of the Radiomics approach by Aerts et al (http://www.nature.com/articles/ncomms5006)
  ☆10Updated 8 years ago
• ecobost / cnn4brca
  Using Convolutional Neural Networks (CNN) for Semantic Segmentation of Breast Cancer Lesions (BRCA). Master's thesis
  ☆76Updated 8 years ago
• KGPML / Deep-Vessel
  ☆53Updated 8 years ago
• farrell236 / DeepPose
  ☆13Updated 6 years ago
• faustomilletari / Hough-CNN
  Hough CNN implementation - new implementation from scratch - based on pre-existing V-Net code.
  ☆12Updated 8 years ago