xwjBupt's Stars
xf4j/brats18
BraTS18
pliang279/awesome-multimodal-ml
Reading list for research topics in multimodal machine learning
tkuanlun350/3DUnet-Tensorflow-Brats18
3D Unet biomedical segmentation model powered by tensorpack with fast io speed
fastnlp/fitlog
fitlog是一款在深度学习训练中用于辅助用户记录日志和管理代码的工具
loli/medpy
Medical image processing in Python
xialeiliu/Awesome-Incremental-Learning
Awesome Incremental Learning
koriavinash1/DeepBrainSeg
Fully automatic brain tumour segmentation using Deep 3-D convolutional neural networks
xuebinqin/U-2-Net
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
pytorch/contrib
Implementations of ideas from recent papers
timgaripov/swa
Stochastic Weight Averaging in PyTorch
mauhai/awesome-jupyterlab
A curated list of awesome JupyterLab extensions and resources
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.
HiLab-git/PyMIC
MIC-DKFZ/nnUNet
deepmedic/dense3dCrf
Fully-connected (dense) 3D CRF for processing biomedical scans
qsyao/cuda_spatial_deform
A fast tool to do image augmentation on GPU(especially elastic_deform), can be helpful to research on Medical Image.
ANTsX/ANTsPy
A fast medical imaging analysis library in Python with algorithms for registration, segmentation, and more.
xf4j/brats17
Patch-based 3D U-Net for brain tumor segmentation
BraTS/Instructions
Instructions on how to dockerize your algorithm and additional info, as applied in the BraTS challenge
ANTsX/ANTs
Advanced Normalization Tools (ANTs)
lucasb-eyer/pydensecrf
Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.
MisaOgura/flashtorch
Visualization toolkit for neural networks in PyTorch! Demo -->
pykao/BraTS2018-tumor-segmentation
We provide DeepMedic and 3D UNet in pytorch for brain tumore segmentation. We also integrate location information with DeepMedic and 3D UNet by adding additional brain parcellation with original MR images.
sergiormpereira/rr_segse
Adaptive feature recombination and recalibration for semantic segmentation
albumentations-team/albumentations
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
wandb/wandb
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
NVIDIA/runx
Deep Learning Experiment Management
black0017/MedicalZooPytorch
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
mattmacy/torchbiomed
Datasets, Transforms and Utilities specific to Biomedical Imaging
mattmacy/vnet.pytorch
A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation