neurite

Medical image analysis toolkit

A toolbox for building neural networks that analyze medical images

Neural networks toolbox focused on medical image analysis

GitHub

340 stars
20 watching
67 forks
Language: Python
last commit: 11 days ago
Linked from 1 awesome list

brainconvolutional-neural-networkskerasmedical-image-computingmedical-imagingpythontensorflow

Backlinks from these awesome lists:

Related projects:

Repository Description Stars
dltk/dltk A toolkit for building and prototyping deep learning models for medical image analysis 1,431
ethanhe42/u-net A convolutional neural network architecture for biomedical image segmentation 430
molcik/python-neuron A Python library for implementing and training various neural network architectures 40
neuralegion/shainet A neural network implementation using object-oriented modeling and inspired by biological systems 184
ngxbac/kaggle-rsna A Python-based deep learning project for medical image analysis, specifically focused on detecting RSNA intracranial hemorrhage. 41
nilearn/nilearn A comprehensive toolkit for analyzing brain imaging data using machine learning and statistical techniques. 1,214
dgilton/neumann_networks_code An implementation of Neumann Networks for Inverse Problems in Imaging using Python and TensorFlow. 14
zudi-lin/pytorch_connectomics A deep learning framework for automatic and semi-automatic segmentation of 3D image stacks in connectomics 172
perone/medicaltorch A framework for building deep learning models on medical imaging data 855
nitrain/nitrain A framework-agnostic Python library for training AI models on medical images 1,865
canlab/canlabcore A collection of core tools and functionalities for neuroimaging analysis in MATLAB. 149
natverse/nat An R package for visualizing and analyzing 3D biological image data 64
poldrack/narps A repository providing code and tools for analyzing neuroimaging data to improve replication and prediction in neuroscientific research. 34
dnouri/nolearn Provides a Python interface to integrate neural networks with scikit-learn, making it easier to use deep learning libraries like Lasagne. 949
soumith/imagenet-multigpu.torch A toolkit for training neural networks on the ImageNet dataset using multiple GPUs. 402