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3d-airway-segmentation

3D airway segmentation method 提出梯度侵蚀和膨胀 针对类内和类间的不平衡提出的新方法

3dunet_abdomen_cascade

active-contour-loss

Implementation of active contour loss function

active-contour-loss-pytorch

An unofficial pytorch implementation for "Learning Active Contour Models for Medical Image Segmentation" by Chen, Xu, et al.

attention-gated-networks

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

awesome-learning-with-label-noise

A curated list of resources for Learning with Noisy Labels

batchgenerators---nnunet-data-augmentatio

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

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.

ca-net

Code for Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation.

cldice

clDice - a Novel Topology-Preserving Loss Function for Tubular Structure Segmentation将拓扑结构引入到loss里，具有理论基础的描述

cleanlab

The standard package for data-centric AI and machine learning with label errors, finding mislabeled data, and uncertainty quantification. Works with most datasets and models.

codes-for-lane-detection

Learning Lightweight Lane Detection CNNs by Self Attention Distillation (ICCV 2019) 注意力蒸馏

computer-graphics-notes

记录3D开发内容，学习过程中的总结和记录，包括引擎、图形、OpenGL、Shader等，保持更新ing.

conresnet

残余标签 [IEEE-TMI2020] Inter-slice Context Residual Learning for 3D Medical Image Segmentation

coordattention

Code for our CVPR2021 paper coordinate attention

cvpr2022-paper-code-interpretation

cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

daf--deep-attentional-features

Code for the MICCAI 2018 paper "Deep Attentional Features for Prostate Segmentation in Ultrasound"

dataset

医学影像数据集列表

de-dcgcn-ee

Dual Encoder-based Dynamic-Channel Graph Convolutional Network with Edge Enhancement for Retinal Vessel Segmentation

deep_learning_paper_implementations

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

deeplabv3-plus-pytorch

这是一个deeplabv3-plus-pytorch的源码，可以用于训练自己的模型。

dnl-object-detection-nonlocal-

Disentangled Non-Local Neural Networks 对non-local机制进一步探索，将原始的non-local表达式通过数学变换分为了pairwise term 和 uanry term

eanet

External Attention Network

early-stopping-pytorch

Early stopping for PyTorch

ecanet

Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks SENet的超强改进？

external-attention-pytorch

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

fcanet-

FcaNet: Frequency Channel Attention Networks

frangi-filter-based-hessian

python版本的Hessian Frangi滤波

gcnet

GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

generalizedwassersteindiceloss

Official implementation of the Generalized Wasserstein Dice Loss in PyTorch 针对不平衡class