abcxubu's repositories
3DUnetCNN
Pytorch 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation
Awesome-Vision-Attentions
Summary of related papers on visual attention. Related code will be released based on Jittor gradually.
CADLab
Imaging Biomarkers and Computer-Aided Diagnosis Laboratory
CVPR2021-Papers-with-Code
CVPR 2021 论文和开源项目合集
Dataset-of-vascular-tree-point-set
This is the dataset of the vascular tree point set. It can not only be used for the research of vascular motion, but also can be used in Computer Vision (e.g., point cloud registration). If you use the dataset, please cite the article 'Multi-constraint point set registration with redundant point removal for the registration of coronary arteries'.
EATSeg
EATSeg is a tool designed to help clinicians and researchers quickly and efficiently carry out epicardia adipose tissue (EAT) research.
External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
labelme
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
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.
MedicalZooPytorch
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
MedMNIST
pip install medmnist: 18 MNIST-like Datasets for 2D and 3D Biomedical Image Classification
MIScnn
A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning
mmdetection
OpenMMLab Detection Toolbox and Benchmark
MONAI
AI Toolkit for Healthcare Imaging
nnDetection
nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.
nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
segmentation_models.pytorch
Segmentation models with pretrained backbones. PyTorch.
segtran
Medical Image Segmentation using Squeeze-and-Expansion Transformers
SSL4MIS
Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.
Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
TNSCUI2020-Seg-Rank1st
This is the source code of the 1st place solution for segmentation task in MICCAI 2020 TN-SCUI challenge.
TorchSSL
A PyTorch-based library for semi-supervised learning (NeurIPS'21)
UNetPlusPlus
Official Keras Implementation for UNet++ in IEEE Transactions on Medical Imaging and DLMIA 2018