medical-image-classification 开源项目推荐（58 个）

fahadshamshad /awesome-transformers-in-medical-imaging

医学成像中 Transformer 应用的相关资源集合

openmedlab /MedFM

NeurIPS 2023 - MedFM Challenge 官方仓库

Omid-Nejati /MedViT

MedViT：用于广义医学图像分类的鲁棒视觉 Transformer（Computers in Biology and Medicine 2023）

IMPACT-L /MedViTV2

MedViTV2：使用 KAN 集成 Transformer 和膨胀邻域注意力的医学图像分类（Applied Soft Computing 2025）

frankkramer-lab /aucmedi

一个用于医学图像自动分类的框架

mayurmallya /DeepGuide

医学影像分类深度多模态指导：https://arxiv.org/pdf/2203.05683.pdf

SiyuanYan1 /PLDG

本仓库是 TMI2024 论文“Prompt-driven Latent Domain Generalization for Medical Image Classification”的官方实现。

melanibe /failure_detection_benchmark

Code for the paper "Failure Detection in Medical Image Classification: A Reality Check and Benchmarking Testbed", TMLR 2022, Bernhardt et al.

giaminhgist /3D-DAM

A reproducible 3D convolutional neural network with dual attention module (3D-DAM) for Alzheimer's disease classification

NITR098 /Chest-Xray-Classification

Simple study on ViT performance in medical image classification

tntek /GUES

Code for [CVPR 2025] Domain Adaptive Diabetic Retinopathy Grading with Model Absence and Flowing Data.

CristianoPatricio /Explainable-Deep-Learning-Methods-in-Medical-Image-Classification-A-Survey

Official repository of the paper "Explainable Deep Learning Methods in Medical Image Classification: A Survey", ACM Computing Surveys (CSUR), 2023.

roshansadath /Medical-Image-Diagnosis-using-Convolutional-Neural-Networks

Implementation of Deep Neural Networks to solve Medical Image Classification using Chest XRay Images

Oscar-RamosS /Medical-Image-Attention-based-Feature-Extractor-MIAFEx

MIAFEx is a Transformer-based extractor for medical images that refines the [CLS] token to produce robust features, improving results on small or imbalanced datasets and supporting feature selection and classifier design. These features can be directly used with classical classifiers (SVM, RF, etc.) or combined with more sophisticaded approaches.

philsaurabh /UDCD_MICCAI

Official Code for "Confidence Matters: Enhancing Medical Image Classification Through Uncertainty-Driven Contrastive Self-distillation" accepted at MICCAI2024

reshalfahsi /covid19ct3d

COVID-19 Classification from 3D CT Images

abubakarsiddik31 /Brain-Tumor-Classification

Prediction of the status of a genetic biomarker for brain cancer treatment.

xiaofuqing13 /breast-cancer-mammography-classification

基于深度学习的乳腺X光片良恶性分类诊断系统，采用多模型集成（EfficientNet-B3/B4、ResNet50、DenseNet121）结合SWA随机权重平均、Focal Loss和MixUp数据增强，针对CBIS-DDSM数据集实现高精度三分类

Yui-0818 /CSM-Net

biomedical image classification with a stain-gated 4-channel CNN

xmindflow /HemaHier

HemaHier: Chain-Conditioned Ordinal Hierarchies for Lineage-Aware Bone-Marrow Cytology