huangmozhilv,ccHuang,github

3dunetcnn

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

a-collection-of-important-tasks-in-pytorch

Everyday things people use in Pytorch. No need to spend hours reading Pytorch forums trying to find them!

adn

ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction

ai-deadlines

:alarm_clock: AI conference deadline countdowns

albumentations

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

analyze_cytof_using_seurat

analyse Cytometry by time-of-flight(CyTOF)

anatomynet-for-anatomical-segmentation

AnatomyNet: Deep 3D Squeeze-and-excitation U-Nets for fast and fully automated whole-volume anatomical segmentation

batchgenerators

A framework for data augmentation for 2D and 3D image classification and segmentation

brats17

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

cascaded-fcn

Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"

cuda_spatial_defrom

A fast tool to do image augmentation on GPU(especially elastic_deform), can be helpful to research on Medical Image.

cytometry-clustering-comparison

R scripts to reproduce analyses in our paper comparing clustering methods for high-dimensional cytometry data

data-analysis-with-r

Using gglot2, tidyr, dplyr, ggmap, choroplethr, shiny, logistic regression, clustering models and more

dcmqi (DICOM for Quantitative Imaging) is a free, open source library that implements conversion of the data stored in commonly used research formats into the standard DICOM representation: https://qiicr.gitbooks.io/dcmqi-guide

deedsbcv

new and more efficient version for 3D discrete deformable registration, reaching the highest accuracy in several benchmarks

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep-learning-for-medical-applications

Deep Learning Papers on Medical Image Analysis

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep_learning_object_detection

A paper list of object detection using deep learning.

deepdiagnosis

A torch package for learning diagnosis models from temporal patient data.

deeplabv3plus-pytorch

Here is a pytorch implementation of deeplabv3+ supporting ResNet(79.155%) and Xception(79.945%). Multi-scale & flip test and COCO dataset interface has been finished.

deeplearning.ai-summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

deeplearningcytof

CyTOF_python_deeplearning

dltk

Deep Learning Toolkit for Medical Image Analysis

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

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