degts

pytorch-YOLO-v1

an experiment for yolo-v1, including training and testing.

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

yolov10

YOLOv10: Real-Time End-to-End Object Detection

LeViT-UNet

For medical image segmentation

VM-UNet

(ARXIV24) This is the official code repository for "VM-UNet: Vision Mamba UNet for Medical Image Segmentation".

Medical-Image-Segmentation-Benchmarks

A Pytorch implement of medical image segmentation U-shape architecture benchmarks

DeepLabV3Plus-Pytorch

Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes

UNeXt-pytorch

Official Pytorch Code base for "UNeXt: MLP-based Rapid Medical Image Segmentation Network", MICCAI 2022

MedNeXt

MedNeXt is a fully ConvNeXt architecture for 3D medical image segmentation (MICCAI 2023).

Swin-Unet

[ECCVW 2022] The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"

segnet_pytorch

SegNet implemetation using PyTorch

COVID19-intensity-labeling

Code for COVID19 CT labeling. Submillimetric CT dataset provided as well.

SLC-Net

UCMT

[IJCAI 2023] Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation

Medical-Image-Segmentation

MedSeg: Medical Image Segmentation GUI Toolbox 可视化医学图像分割工具箱

SAM-Med2D

Official implementation of SAM-Med2D

interview_python

关于Python的面试题

albumentations

Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

MedAugment

leetcode-master

《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

S-EFOV

S-EFOV: Thoracic CT-based Body Composition Analysis with Semantically Extended FOV

CutMix-PyTorch

Official Pytorch implementation of CutMix regularizer

UniMatch

[CVPR 2023] Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation

Retinex-openCV

SSR, MSR

homomorphic-filter

Implementation of homomorphic filter made in Python

dataset

医学影像数据集列表 『An Index for Medical Imaging Datasets』

ICL

The official repo for [MIDL'23 Oral] "Inherent Consistent Learning for Accurate Semi-supervised Medical Image Segmentation"

SimpleBaseline

[ICCV 2021] A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data Augmentation

BoostMIS

Pytorch implementation of BoostMIS: Boosting Medical Image Semi-supervised Learning with Adaptive Pseudo Labeling and Informative Active Annotation

UDA-pytorch

An unofficial PyTorch implementation of Unsupervised Data Augmentation