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mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

medimagetexture

medipy-lib

Medical Image Analysis library for Python

medpy

Medical image processing in Python

models

Models and examples built with TensorFlow

morphologicalcontourinterpolation

niftk

Mirror of NifTK on cmiclab, providing 3 main GUIs and about 150+ command line apps.

niftynetmodelzoo

This repository hosts NiftyNet networks pre-trained for specific tasks

niitools

Utilities for brain imaging

nipype

Workflows and interfaces for neuroimaging packages

orthanc-viewer

Automatically exported from code.google.com/p/orthanc-viewer

otmql4py

Open Trading Metatrader 4 Python Integration

pals

Pipeline for Analyzing Lesions after Stroke (PALS)

pct

CT Perfusion Toolbox

poisson-image-editing

Poisson image editing for seamless cloning and other operations

pyradiomics

Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks.

python-uncompyle6

A cross-version Python bytecode decompiler

qianshuqinghan.github.io

qtdcm

QtDcm provides a set of Qt widgets to search and query DICOM images from a PACS. https://qtdcm.github.io

quicksilver

Predictive Image Registration

regnet

Nonrigid image registration using multi-scale 3D convolutional neural networks

scnn

Survival Convolutional Neural Networks

segmeasure

Structure Measure and Enhanced Alignment Measure for Evaluation

simpleelastix

Multi-lingual medical image registration library

stripskullct

Extract brain and remove skulls from brain CT and CTA images

sunet-architecture

SUNet: a deep learning architecture for acute stroke lesion segmentation and outcome prediction in multimodal MRI

survival-analysis-using-deep-learning

This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis

swig

SWIG is a software development tool that connects programs written in C and C++ with a variety of high-level programming languages.

tensorflow

Computation using data flow graphs for scalable machine learning

test