Image segmentation - general superpixel segmentation & center detection & region growing

A paper list for medical anomaly detection. ℱℯℯ𝓁 𝒻𝓇ℯℯ to contribute!

Repository for the paper "Synthetic optical coherence tomography angiographs for detailed retinal vessel segmentation without human annotations" (2024).

🤖 PyTorch toolkit for biomedical imaging ❤️

[CVPRW 2025] Official code of "IAUNet: Instance-Aware U-Net"

A Rat fMRI multi-center study

🧑🏻‍⚕️ 医学人工智能入门指南 Medical-AI-Guide

[JBHI 2025] BS-LDM: Effective Bone Suppression in High-Resolution Chest X-Ray Images with Conditional Latent Diffusion Models

Fully automated 3D perivascular space (PVS) segmentation tool for T1w and T2w brain MRI.

Bone suppression in chest X-rays: A deep survey. ℱℯℯ𝓁 𝒻𝓇ℯℯ to contribute!

This repository provides DINOSim, a method that leverages the DINOv2 foundation model for zero-shot object detection and segmentation in bioimage analysis. DINOSim uses pretrained DINOv2 embeddings to compare patch similarities, allowing it to detect and segment unseen objects in complex datasets with minimal annotations.

EndoL2H: Deep Super-Resolution for Capsule Endoscopy

2D UNETR implementation in Tensorflow-keras, for EM image segmentation.

A 3D Slicer extension for interactive 3D visualization and quantitative colocalization analysis of multi-channel confocal z-stack images.

Histology Image Viewer and Converter

🎯 Top 204 solution for Elucidata AI Challenge 2025 – Predicting spatial cell-type composition from histology images using CNNs with EfficientNet & ResNet backbones, multi-scale patching, and coordinate-aware ensemble modeling.

Generate Synthetic Shapes in 3D for Biomedical Image Augmentation and Synthesis.

This repository contains a Python application using OpenCV for detecting mitosis in images. Aimed at researchers and biologists, it provides tools to automate the counting and identification of mitotic figures in microscopic images, supporting studies in cellular biology and medical diagnostics.

Biomedical Image Processing BAP (Scientific Research Project) - Piri Reis University: Accepted in SIU'26

Supplementary repository for the paper “Detection and Classification of Breast Lesions in Biomedical Images Using Explainable Machine Learning Techniques” — Read the article .