Starred repositories
Vision Mamba for Classification of Breast Ultrasound Images [MICCAI 2024, Deep-Breath Workshop]
Retinal vessel segmentation using U-NET, Res-UNET, Attention U-NET, and Residual Attention U-NET (RA-UNET)
including unet,unet++,attention-unet,r2unet,cenet,segnet ,fcn.
The official repository implement of Res-VMamba: Fine-Grained Food Category Visual Classification Using Selective State Space Models with Deep Residual Learning.
[TGRS2024] MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification
MedViT: A Robust Vision Transformer for Generalized Medical Image Classification (Computers in Biology and Medicine 2023)
Multi-scale Attention Network for Single Image Super-Resolution (CVPRW 2024)
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
Extracting masks of tomatoes from the images using Auto-labelling for the annotations and YOLO,SAM models for the segmentation masks
This repo offers a streamlined segmentation pipeline combining YOLO for region prompting with SAM for high-resolution mask generation — tailored for medical imaging. It’s lightweight, adaptable, an…
This repository contains code for a multiple classification image segmentation model based on UNet and UNet++
An application and evaluation of Mamba-based methods for White Blood Cell (WBC) classification.
【ICME2025 Oral】Offical Pytorch Code for "MambaMIC: An Efficient Baseline for Microscopic Image Classification with State Space Models"
[CVPR 2025] 2DMamba: Efficient State Space Model for Image Representation
The official code for the paper "S2Mamba: A Spatial-spectral State Space Model for Hyperspectral Image Classification" The code will be available soon.
Spectral-Spatial Mamba for Hyperspectral Image Classification, remote sensing
Cross-fusion Mamba for multi-view medical image classification
This is the official code repository for "MedMamba: Vision Mamba for Medical Image Classification"
11-layer dual-pathway 3D CNN with ResNet blocks for brain lesion segmentation and comprehensive medical image analysis pipeline
VeloxSeg is a lightweight multimodal medical image segmentation framework that addresses the fundamental "efficiency / robustness conflict" in 3D medical image segmentation.
A Multi-Resolution Hybrid CNN-Transformer Network with Scale-Guided Attention for Medical Image Segmentation
[nature biomedical engineering 2025] Official code for paper: A generalist foundation model and database for open-world medical image segmentation (MedSegX)
An Efficient, High-Quality 3D Segmentation for Medical Image Analysis with Constrained Computational Resources
3D U-NetR: Low Dose Computed Tomography Reconstruction via Deep Learning and 3 Dimensional Convolutions
This project compares the performance of UNet, ResUNet, SegResNet, and UNETR architectures on the 2017 LiTS dataset for liver tumor segmentation. We evaluate segmentation accuracy using the DICE sc…