Luckyshan1's Stars
ljpzzz/machinelearning
My blogs and code for machine learning. http://cnblogs.com/pinard
stone-zeng/fduthesis
LaTeX thesis template for Fudan University
MLearing/Keras-Brats-Improved-Unet3d
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
chestnut111/loss_for_medical_image_segmentation
loss for medical image segmentation use keras(python)
rhythm92/CNN3D_Medical
3D Convolutional neural network for medical image segmentation
xf4j/brats17
Patch-based 3D U-Net for brain tumor segmentation
cv-lee/BraTs
PyTorch & Keras implementation for BraTs (Brain Tumor Segmentation)
shreyaspadhy/UNet-Zoo
A collection of UNet and hybrid architectures in PyTorch for 2D and 3D Biomedical Image segmentation
shiba24/3d-unet
Chainer implementations of 3D UNet
SSinyu/WGAN-VGG
Pytorch Implementation of Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss
mirzaevinom/prostate_segmentation
NCI-ISBI 2013 Challenge - Automated Segmentation of Prostate Structures
yeyun111/dlcv_for_beginners
《深度学习与计算机视觉》配套代码
qubvel/segmentation_models
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
xmengli/H-DenseUNet
TMI 2018. H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes
Tencent/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.
wfdubowen/Retina-Unet
眼底图像的血管分割
facert/python-data-structure-cn
problem-solving-with-algorithms-and-data-structure-using-python 中文版
bigmb/Unet-Segmentation-Pytorch-Nest-of-Unets
Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet
pykao/Modified-3D-UNet-Pytorch
This repository implements pytorch version of the modifed 3D U-Net from Fabian Isensee et al. participating in BraTS2017
ellisdg/3DUnetCNN
Pytorch 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation
milesial/Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
MIC-DKFZ/medicaldetectiontoolkit
The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.
minghao-wu/DeepLearningFromScratch
Reproduce selected deep learning models from scratch in PyTorch
moskomule/senet.pytorch
PyTorch implementation of SENet
exacity/deeplearningbook-chinese
Deep Learning Book Chinese Translation
rGitcy/Network-Embedding-and-Application-papers
hzy46/Deep-Learning-21-Examples
《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码
CyC2018/CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计
nndl/nndl.github.io
《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning