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3d_attention_unet

3dfasterrcnn_lungnoduledetector

3dshapecontexts

Accompanying source code for my 2003 paper 3D Shape Matching with 3D Shape Contexts

3dunetcnn

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

adelaidet

AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.

attention-gated-networks

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

awesome-point-cloud-analysis

A list of papers and datasets about point cloud analysis (processing)

awesome-semi-supervised-learning

:scroll: An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

awesome-vision-attentions

Summary of related papers on visual attention. Related code will be released based on Jittor gradually.

bcpd

Bayesian coherent point drift for Windows 10

boundary-loss

Official code for "Boundary loss for highly unbalanced segmentation", runner-up for best paper award at MIDL 2019. Extended version in MedIA, volume 67, January 2021.

cadlab

Imaging Biomarkers and Computer-Aided Diagnosis Laboratory

calcium-scoring

cfun

Combining Faster R-CNN and U-net for efficient medical image segmentation

coronarycenterlineunet

cotr

CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation

cpd-net

Coherent Point Drift Networks: Unsupervised Learning of Non-Rigid Point Set Registration (CPD-Net). Lingjing Wang, Xiang Li, Jianchun Chen, Yi Fang.

cvision-algorithms

Collection of Computer Vision algorithms implemented in Matlab

cvpr2020

cvpr2020/cvpr2019／cvpr2018/cvpr2017 papers，极市团队整理

cvpr2021-papers-with-code

CVPR 2021 论文和开源项目合集

cvxopt

CVXOPT -- Python Software for Convex Optimization

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'.

deep-reinforced-tree-traversal

deeplung

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

deepvesselnet

Implementation of the DeepVesselNet deep learning network

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.⭐⭐⭐

flops-counter.pytorch

Flops counter for convolutional networks in pytorch framework

focal-tversky-unet

This repo contains the code for our paper "A novel focal Tversky loss function and improved Attention U-Net for lesion segmentation" accepted at IEEE ISBI 2019.

gmmreg

Implementations of the robust point set registration algorithm described in the paper "Robust Point Set Registration Using Gaussian Mixture Models", Bing Jian and Baba C. Vemuri, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011, 33(8), pp. 1633-1645.