医学 AI

MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification

Jiancheng Yang, Rui Shi, Donglai Wei, Zequan Liu, Lin Zhao, Bilian Ke, Hanspeter Pfister, Bingbing Ni

专题命中 医学数据与评测 ：medical image(title,abstract)；biomedical(title,abstract)；分类 cs.CV、cs.LG、eess.IV

Comments The data and code are publicly available at https://medmnist.com/. arXiv admin note: text overlap with arXiv:2010.14925

Journal ref Scientific Data 2023

SPARC-Rad: A Multimodal Benchmark Dataset and Evaluation Pipeline for Spatial and Anatomical Reasoning in Radiology Vision-Language Models

SPARC-Rad：面向放射学视觉语言模型的空间与解剖推理多模态基准数据集及评估流程

Satvik Tripathi, Mustafa Ege Seker, Kristian Quevada, Ebubechukwu D Enwerem, Pratham Khandelwal, Emine Meltem, Bera Koca, Shahriar Faghani, Jacinta Arnold, Dania Daye, Tessa S. Cook

专题命中 医学数据与评测 ：radiology(title,abstract)；MRI(abstract,abstract_cn)；CT(abstract,abstract_cn)；分类 cs.CV

AI总结 该研究开发了SPARC-Rad多模态基准数据集及评估流程，用于评估放射学VLMs的空间与解剖推理能力，为相关模型的开发与部署前评估提供支持。

Federated Distillation for Medical Image Classification: Towards Trustworthy Computer-Aided Diagnosis

Sufen Ren, Yule Hu, Shengchao Chen, Guanjun Wang

专题命中 医学数据与评测 ：medical image(title,abstract)；diagnosis(title,abstract)；分类 cs.CV

Comments Work in progress. This paper is the first to introduce intra-client knowledge distillation in the context of trustworthy medical image classification. arXiv admin note: text overlap with arXiv:2401.01493

When Does Deep Representation Learning Help Single-Cell Clustering? A Sensitivity-Aware Diagnostic Benchmark for Biomedical AI Pipelines

深度表示学习何时有助于单细胞聚类？生物医学人工智能管道的敏感性感知诊断基准

Nguyen Thanh Phong, Truong Viet Vu, Nguyen Ha Thu, Tran An Ky, Tran Hoang Thong, Le Pham Thuy Hien, Nguyen Thai Anh

机构 * Van Lang University（范朗大学） 纠错

专题命中 医学数据与评测 ：medical AI(title,abstract)；biomedical(title,abstract)；分类 cs.LG、q-bio

AI总结 研究单细胞聚类中深度表示学习是否必要，通过九个聚类管道在十个真实数据集上的诊断基准测试及相关分析，集成多种测试方法，揭示不同模式，确定主要方差贡献者，提供数据集感知和计算意识决策框架。

Comments 13 pages, 6 figures. Accepted at ISRSD 2026

MM-NeuroOnco: A Multimodal Benchmark and Instruction Dataset for MRI-Based Brain Tumor Diagnosis

MM-NeuroOnco: 一种多模态基准和指令数据集用于基于MRI的脑肿瘤诊断

Feng Guo, Jiaxiang Liu, Yang Li, Qianqian Shi, Mingkun Xu

机构 * Guangdong Institute of Intelligence Science and Technology（广东智能科学与技术研究院） ； Center for Brain-Inspired Computing Research (CBICR), Department of Precision Instrument, Tsinghua University（脑启发计算研究中心（CBICR）、精密仪器系，清华大学） 纠错

专题命中 医学数据与评测 ：MRI(title,abstract)；diagnosis(title,abstract)；分类 cs.CV

AI总结 MM-NeuroOnco提出一个多模态数据集和基准，用于提升基于MRI的脑肿瘤诊断的多模态推理能力，通过生成诊断相关语义提升模型性能。

Robust Detection Outcome: A Metric for Pathology Detection in Medical Images

Felix Meissen, Philip Müller, Georgios Kaissis, Daniel Rueckert

专题命中 医学数据与评测 ：medical image(title,abstract)；pathology(title,abstract)；分类 cs.CV

Comments Accepted at MIDL 2023

BioFors: A Large Biomedical Image Forensics Dataset

Ekraam Sabir, Soumyaroop Nandi, Wael AbdAlmageed, Prem Natarajan

专题命中 医学数据与评测 ：medical image(title,abstract)；biomedical(title,abstract)；分类 cs.CV

Comments To appear at ICCV 2021

From Tissue Plane to Organ World: A Benchmark Dataset for Multimodal Biomedical Image Registration using Deep Co-Attention Networks

Yifeng Wang, Weipeng Li, Thomas Pearce, Haohan Wang

专题命中 医学数据与评测 ：biomedical(title,abstract)；medical image(title)；分类 cs.LG、eess.IV

MedBlindTuner: Towards Privacy-preserving Fine-tuning on Biomedical Images with Transformers and Fully Homomorphic Encryption

Prajwal Panzade, Daniel Takabi, Zhipeng Cai

专题命中 医学数据与评测 ：medical image(title,abstract)；biomedical(title)；分类 cs.CV、cs.LG

Comments Accepted for the presentation at W3PHIAI, The 38th Annual AAAI Conference on Artificial Intelligence 2024

RPLHR-CT Dataset and Transformer Baseline for Volumetric Super-Resolution from CT Scans

Pengxin Yu, Haoyue Zhang, Han Kang, Wen Tang, Corey W. Arnold, Rongguo Zhang

专题命中 医学数据与评测 ：CT(title,abstract)；medical image(abstract)；diagnosis(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments Accepted MICCAI 2022

A Two-Stage Federated Transfer Learning Framework in Medical Images Classification on Limited Data: A COVID-19 Case Study

Alexandros Shikun Zhang, Naomi Fengqi Li

专题命中 医学数据与评测 ：medical image(title,abstract)；CT(abstract)；diagnosis(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments 10 pages, 11 figures

GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AI

Pengcheng Chen, Jin Ye, Guoan Wang, Yanjun Li, Zhongying Deng, Wei Li, Tianbin Li, Haodong Duan, Ziyan Huang, Yanzhou Su, Benyou Wang, Shaoting Zhang, Bin Fu, Jianfei Cai, Bohan Zhuang, Eric J Seibel, Junjun He, Yu Qiao

专题命中 医学数据与评测 ：medical AI(title,abstract)；medical image(abstract)；diagnosis(abstract)；分类 cs.CV、eess.IV

Comments GitHub: https://github.com/uni-medical/GMAI-MMBench Hugging face: https://huggingface.co/datasets/OpenGVLab/GMAI-MMBench

Distributed Federated Learning-Based Deep Learning Model for Privacy MRI Brain Tumor Detection

Lisang Zhou, Meng Wang, Ning Zhou

专题命中 医学数据与评测 ：MRI(title,abstract)；medical image(abstract)；diagnosis(abstract)；分类 cs.LG、eess.IV

Journal ref Journal of Information, Technology and Policy (2023): 1-12

Privacy-Preserving in Medical Image Analysis: A Review of Methods and Applications

Yanming Zhu, Xuefei Yin, Alan Wee-Chung Liew, Hui Tian

专题命中 医学数据与评测 ：medical image(title,abstract)；pathology(abstract)；diagnosis(abstract)；分类 cs.CV

Decoding Cognitive Health Using Machine Learning: A Comprehensive Evaluation for Diagnosis of Significant Memory Concern

M. Sajid, Rahul Sharma, Iman Beheshti, M. Tanveer

专题命中 医学数据与评测 ：diagnosis(title,abstract)；MRI(abstract)；CT(abstract)；分类 cs.LG

Journal ref WIREs Data Mining and Knowledge Discovery, 2024

SynthRAD2023 Grand Challenge dataset: generating synthetic CT for radiotherapy

Adrian Thummerer, Erik van der Bijl, Arthur Jr Galapon, Joost JC Verhoeff, Johannes A Langendijk, Stefan Both, Cornelis, AT van den Berg, Matteo Maspero

专题命中 医学数据与评测 ：CT(title,abstract)；MRI(abstract)；diagnosis(abstract)；分类 cs.CV

Comments 15 pages, 4 figures, 9 tables, pre-print submitted to Medical Physics - dataset. The training dataset is available on Zenodo at https://doi.org/10.5281/zenodo.7260705 from April, 1st 2023

Personalized and privacy-preserving federated heterogeneous medical image analysis with PPPML-HMI

Juexiao Zhou, Longxi Zhou, Di Wang, Xiaopeng Xu, Haoyang Li, Yuetan Chu, Wenkai Han, Xin Gao

专题命中 医学数据与评测 ：medical image(title,abstract)；CT(abstract)；分类 cs.CV、cs.LG、eess.IV

INSPECT: A Multimodal Dataset for Pulmonary Embolism Diagnosis and Prognosis

Shih-Cheng Huang, Zepeng Huo, Ethan Steinberg, Chia-Chun Chiang, Matthew P. Lungren, Curtis P. Langlotz, Serena Yeung, Nigam H. Shah, Jason A. Fries

专题命中 医学数据与评测 ：diagnosis(title)；CT(abstract)；radiology(abstract)；分类 cs.CV、cs.LG、eess.IV

COVID-CT-Dataset: A CT Scan Dataset about COVID-19

Xingyi Yang, Xuehai He, Jinyu Zhao, Yichen Zhang, Shanghang Zhang, Pengtao Xie

专题命中 医学数据与评测 ：CT(title,abstract)；diagnosis(abstract)；分类 cs.CV、cs.LG、eess.IV

MedFedPure: A Medical Federated Framework with MAE-based Detection and Diffusion Purification for Inference-Time Attacks

MedFedPure: 基于MAE检测和扩散净化的医疗联邦框架用于推理时攻击防御

Mohammad Karami, Mohammad Reza Nemati, Aidin Kazemi, Ali Mikaeili Barzili, Hamid Azadegan, Behzad Moshiri

机构 * School of Electrical and Computer Engineering（电气与计算机工程学院） ； Max Planck Institute for Brain Research（马克斯·普朗克脑研究所在法兰克福） ； School of Computer Engineering,University of Science and Technology (IUST)（科学技术大学（IUST）计算机工程学院） ； Department of Electrical and Computer Engineering（电气与计算机工程系） ； University of Waterloo（滑铁卢大学） 纠错

专题命中 医学数据与评测 ：MRI(summary_cn,abstract)；diagnosis(abstract)；分类 cs.LG

AI总结 提出MedFedPure框架，结合个性化联邦学习、掩码自编码器检测和自适应扩散净化，在推理时防御对抗攻击，在Br35H脑MRI数据集上强攻击下准确率从49.50%提升至87.33%，干净准确率保持97.67%。

MeniOmni: A Structured Multimodal Benchmark for Holistic Meniscus Injury Assessment

MeniOmni：用于整体半月板损伤评估的结构化多模态基准

Shurui Xu, Siqi Yang, Weiping Ding, Hui Wang, Mengzhen Fan, Yuyu Sun, Shuyan Li

机构 * 1School of Electronics, Electrical Engineering ； Computer Science, Queen's University Belfast, Belfast, UK ； 2Radiology Department, Affiliated Nantong Clinical College of Nantong University, Nantong First People's Hospital, School of Clinical Medicine, Nantong University, Nantong, Jiangsu, China ； 3School of Artificial Intelligence ； Computer Science, Nantong University, Nantong, China ； 4Faculty of Data Science, City University of Macau, Macau, China ； 5Department of Chemistry, University of Oxford, Oxford, UK ； 6Orthopedics Department, Nantong First People's Hospital, Southeast University, Nantong, Jiangsu, China 纠错

专题命中 医学数据与评测 ：MRI(summary_cn,abstract)；diagnosis(abstract)；分类 cs.CV

AI总结 提出MeniOmni基准，包含多中心MRI、临床先验和专家标注文本，支持细粒度Stoller分级和诊断报告生成，并引入风险感知序数评估和语义一致性指标Meni-Score。

Comments Accepted by IEEE International Conference on Multimedia and Expo (ICME) 2026 (Oral Presentation)

Designing UNICORN: a Unified Benchmark for Imaging in Computational Pathology, Radiology, and Natural Language

设计UNICORN：面向医学成像的统一基准测试

Michelle Stegeman, Lena Philipp, Fennie van der Graaf, Marina D'Amato, Clément Grisi, Luc Builtjes, Joeran S. Bosma, Judith Lefkes, Rianne A. Weber, James A. Meakin, Thomas Koopman, Anne Mickan, Mathias Prokop, Ewoud J. Smit, Geert Litjens, Jeroen van der Laak, Bram van Ginneken, Maarten de Rooij, Henkjan Huisman, Colin Jacobs, Francesco Ciompi, Alessa Hering

专题命中 医学数据与评测 ：pathology(title)；radiology(title)；分类 cs.CV

AI总结 UNICORN是一个面向医学成像的统一基准测试，旨在通过标准化评估框架系统评估医学基础模型的跨模态和多任务泛化能力。

Comments This paper describes the dataset and design of the UNICORN challenge and provides the link to Grand Challenge

Assessing VLM Reliability for Medical Image Quality Evaluation Under Corruption and Bias

评估视觉语言模型在图像退化与偏差下进行医学图像质量评估的可靠性

Sofiane Ouaari, Kevin Vorwalder, Nico Pfeifer

机构 * University of Tuebingen（图宾根大学） ； Institute for Bioinformatics and Medical Informatics (IBMI), University of Tuebingen（图宾根大学生物信息学与医学信息学研究所） 纠错

专题命中 医学数据与评测 ：medical image(title,abstract)；pathology(abstract)；分类 cs.CV、cs.LG

AI总结 研究视觉语言模型在医学图像质量评估中，面对图像退化（如像素化）和文本属性偏差时的可靠性，发现像素化显著降低性能，而文本属性（如机构声望）引入偏差。

M3CoTBench: Benchmark Chain-of-Thought of MLLMs in Medical Image Understanding

M3CoTBench：医学图像理解中多模态大语言模型的思维链基准测试

Juntao Jiang, Jiangning Zhang, Yali Bi, Jinsheng Bai, Weixuan Liu, Weiwei Jin, Zhucun Xue, Yong Liu, Xiaobin Hu, Shuicheng Yan

机构 * Zhejiang University（浙江大学） ； University of Science and Technology of China（中国科学技术大学） ； East China Normal University（华东师范大学） ； Zhejiang Provincial People’s Hospital（浙江省人民医院） ； National University of Singapore（新加坡国立大学） 纠错

专题命中 医学数据与评测 ：medical image(title,abstract)；diagnosis(abstract)；分类 cs.CV、eess.IV

AI总结 提出M3CoTBench基准，通过多层级难度数据集和专用评估指标，系统评测多模态大语言模型在医学图像理解中的思维链推理正确性、效率、影响和一致性。

Comments 39 pages, 8 figures; accepted by ICLR 2026

VIDS: A Verified Imaging Dataset Standard for Medical AI

VIDS：面向医疗AI的验证成像数据集标准

Joan S. Muthu, John Shalen

机构 * Princeton Medical Systems（普林斯顿医疗系统） 纠错

专题命中 医学数据与评测 ：medical AI(title)；CT(abstract,abstract_cn)；分类 cs.CV、eess.IV

AI总结 本文提出VIDS标准，通过定义文件结构、命名规则和21条验证规则，解决医疗影像数据集的注释溯源和质量保障问题，验证了LIDC-Hybrid-100数据集的合规性。

Comments 11 pages, 3 figures, 5 tables

Federated Learning for Privacy-Preserving Medical AI

联邦学习用于隐私保护的医疗AI

Tin Hoang

机构 * University of Surrey（Surrey大学） 纠错

专题命中 医学数据与评测 ：medical AI(title,abstract)；MRI(abstract)；分类 cs.CV、cs.LG

AI总结 本文研究了利用三维MRI数据进行阿尔茨海默病分类的隐私保护联邦学习，提出了一种机构感知的数据分区策略和自适应局部差分隐私机制，提升了隐私-效用平衡并验证了联邦优化算法在医疗AI中的应用。

Comments MSc Dissertation

Generation of Chest CT pulmonary Nodule Images by Latent Diffusion Models using the LIDC-IDRI Dataset

利用LIDC-IDRI数据集通过潜在扩散模型生成胸部CT肺结节图像

Kaito Urata, Maiko Nagao, Atsushi Teramoto, Kazuyoshi Imaizumi, Masashi Kondo, Hiroshi Fujita

专题命中 医学数据与评测 ：CT(title,abstract)；diagnosis(abstract)；分类 cs.CV、eess.IV

AI总结 本文提出利用潜在扩散模型生成胸部CT肺结节图像，通过LIDC-IDRI数据集验证，生成图像质量与真实图像相当。

AeroPath: An airway segmentation benchmark dataset with challenging pathology

Karen-Helene Støverud, David Bouget, Andre Pedersen, Håkon Olav Leira, Thomas Langø, Erlend Fagertun Hofstad

专题命中 医学数据与评测 ：pathology(title)；CT(abstract)；diagnosis(abstract)；分类 cs.CV、cs.LG

Comments 13 pages, 5 figures, submitted to Scientific Reports

ECPC-IDS:A benchmark endometrail cancer PET/CT image dataset for evaluation of semantic segmentation and detection of hypermetabolic regions

Dechao Tang, Tianming Du, Deguo Ma, Zhiyu Ma, Hongzan Sun, Marcin Grzegorzek, Huiyan Jiang, Chen Li

专题命中 医学数据与评测 ：CT(title,abstract)；diagnosis(abstract)；分类 cs.CV、eess.IV

Comments 14 pages,6 figures

Evaluating Generalizability of Deep Learning Models Using Indian-COVID-19 CT Dataset

Suba S, Nita Parekh, Ramesh Loganathan, Vikram Pudi, Chinnababu Sunkavalli

专题命中 医学数据与评测 ：CT(title,abstract)；diagnosis(abstract)；分类 cs.CV、eess.IV