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3d-medical-segmentation-gan

3D Liver Segmentation with GAN

chestxrays-classification-deep_learning

Classification of medical chest x-ray images using Convolutional Neural Networks

deep-histopath

A deep learning approach to predicting breast tumor proliferation scores for the TUPAC16 challenge

deepmedic

Efficient Multi-Scale 3D Convolutional Neural Network for Brain Lesion Segmentation

easymedics

A GUI tool to interact with X-RAY, MRI and CT scans.

histomicstk

A Python Toolkit and a Web-based Platform for Histopathology Image Analysis

hyperdensenet

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

keras-retinanet

Keras implementation of RetinaNet object detection.

keras_frcnn

Keras Implementation of faster-rcnn

medicalimagesegmentation

This repository aims at containing all the code employed at LIVIA to segment medical images. Mainly, our research focuses on bringind the expertise in deep learning and optimization techniques to the medical image analysis domain.

mlo-object-detection

onconet_public

Developing Deep Learning Models for Mammography

oncoserve_public

Sharing Deep Learning Models for Mammography

semidensenet

Repository containing the code of one of the networks that we employed in the iSEG Grand MICCAI Challenge 2017, infant brain segmentation.

sliderunner

SlideRunner is a tool for massive cell annotations in whole slide images

stain_adversarial_learning

Using adversarial feature learning and color augmentation to address the variability in histopathology images

staintools

Tools for tissue image stain normalization and augmentation in Python 3. [python, scientific]