Popular GitHub Repositories for Medical Image Processing

AI Toolkit for Healthcare Imaging

Deep Learning Toolkit for Medical Image Analysis

This repository is an unoffical PyTorch implementation of Medical segmentation in 2D and 3D.

Pytorch implementation of ResUnet and ResUnet ++

A collection of papers about Transformer in the field of medical image analysis.

A Python toolkit for pathology image analysis algorithms.

Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).

Papers for CNN, object detection, keypoint detection, semantic segmentation, medical image processing, SLAM, etc.

A curated list of foundation models for vision and language tasks in medical imaging

ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction

✨基于 3D 卷积神经网络(CNN)的阿尔兹海默智能诊断 Web 应用 Alzheimer's Intelligent Diagnosis Web Application based on 3D Convolutional Neural Network and the ADNI Dataset ✨ (with README in English) ?：图像识别可视化界面，快速部署深度学习模型为网页应用，Web预测系统，决策支持系统(DSS)，图像识别前端网页，图像识别Demo展示-Pywebio。AI人工智能图像识别-Pytorch；nii医学影像处理；ADNI数据集。100%纯Python代码，轻量化，易复现

[Neurocomputing] The official code for "H-vmunet: High-order Vision Mamba UNet for Medical Image Segmentation".

ICONIP 2024 (IEEE Access 2025)

[MedIA] Paper list and source code for survey "A comprehensive survey on deep active learning in medical image analysis"

Attention Unet model with post process for retina optic disc segmention

Pytorch version of the HyperDenseNet deep neural network for multi-modal image segmentation

A collection of deep learning models with a unified API.

Brain Tomur Classification Using Pre-trained Models

End-to-end Python CT volume preprocessing pipeline to convert raw DICOMs into clean 3D numpy arrays for ML. From paper Draelos et al. "Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes."

Using DCGAN for segmenting brain tumors from brain image scans