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3dunetcnn

Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

augmentor

Image augmentation library in Python for machine learning.

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

awsome-domain-adaptation

A collection of AWESOME things about domian adaptation

brats17

Patch-based 3D U-Net for brain tumor segmentation

cardio

CardIO is a library for data science research of heart signals

code-of-learn-deep-learning-with-pytorch

This is code of book "Learn Deep Learning with PyTorch"

convcrf

This repository contains the reference implementation for our proposed Convolutional CRFs.

cxr8

deeplearningimplementations

Implementation of recent Deep Learning papers

deeplung

WACV18 paper "DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification"

deepmedic

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

densenet.pytorch

A PyTorch implementation of DenseNet.

detectron.pytorch

A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

distance-regularized-level-set-segmentation

This is the python implementation of "Distance Regularized Level Set Evolution and Its Application to Image Segmentation"

dsb2017

The solution of team 'grt123' in DSB2017

dsb2017_dhammack

DSB2017_second_place_code

ffn

Flood-Filling Networks for instance segmentation in 3d volumes.

flownet2-pytorch

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

frangi3d

Computes vesselness scores for 3-dimensional images.

ganhacks

starter from "How to Train a GAN?" at NIPS2016

introduction-to-machine-learning

This repo will house all our course material and code snippets from the Introduction to Machine Learning Class

kaggle_ndsb2017

Kaggle datascience bowl 2017

lihang-code

《统计学习方法》的代码实现

lung-segmentation-3d

Lung fields segmentation on tomography images using convolutional neural networks.

lung_nodule_classifier

lung nodule classifier for 9 attribute

lung_nodule_detector

lung nodule detector using 3d resnet using focal loss

medicalnet

Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.

meshcnn

Convolutional Neural Network for 3D meshes in PyTorch

mlpractical

Machine Learning Practical course repository