医学 AI

OncoTriad-QA: A Patient-Level Radiology-Pathology-Genomics Benchmark for Pan-Cancer Reasoning

OncoTriad-QA：用于泛癌推理的患者级放射学-病理学-基因组学基准

Ahnaf Munir, Dannong Wang, Michael W. McDonald, Mubarak Shah, Pegah Khosravi, Yu Tian

专题命中 病理影像 ：pathology(title,abstract)；radiology(title,abstract)；MRI(abstract,abstract_cn)；CT(abstract,abstract_cn)

AI总结 本文提出OncoTriad-QA多模态癌症问答基准及OncoVLM模型，实验显示OncoVLM经微调后在泛癌问答任务上优于现有模型，该基准可用于相关模型的训练与评估。

CorrSigNet: Learning CORRelated Prostate Cancer SIGnatures from Radiology and Pathology Images for Improved Computer Aided Diagnosis

Indrani Bhattacharya, Arun Seetharaman, Wei Shao, Rewa Sood, Christian A. Kunder, Richard E. Fan, Simon John Christoph Soerensen, Jeffrey B. Wang, Pejman Ghanouni, Nikola C. Teslovich, James D. Brooks, Geoffrey A. Sonn, Mirabela Rusu

专题命中 病理影像 ：pathology(title,abstract)；diagnosis(title)；radiology(title)；MRI(abstract)

Comments Accepted to MICCAI 2020

CoRe-BT: A Multimodal Radiology-Pathology-Text Benchmark for Robust Brain Tumor Typing

CoRe-BT：一种多模态放射科-病理科-文本基准，用于鲁棒性脑肿瘤分类

Juampablo E. Heras Rivera, Daniel K. Low, Xavier Xiong, Jacob J. Ruzevick, Daniel D. Child, Wen-wai Yim, Mehmet Kurt, Asma Ben Abacha

机构 * University of Washington（华盛顿大学） ； University of Washington School of Medicine（华盛顿大学医学院） ； Microsoft Health AI（微软健康人工智能） 纠错

专题命中 病理影像 ：pathology(title,abstract)；radiology(title,abstract)；MRI(abstract)；diagnosis(abstract)

AI总结 CoRe-BT提出一个多模态基准，用于在缺失模态条件下提升脑肿瘤分类的鲁棒性，通过整合MRI、病理图像和报告，推动多模态学习与表示学习的发展。

Comments Under review, MICCAI 2026

Dual-Modal Lung Cancer AI: Interpretable Radiology and Microscopy with Clinical Risk Integration

双模肺癌AI：结合可解释放射学与显微镜的临床风险整合

Baramee Sukumal, Aueaphum Aueawatthanaphisut

机构 * Hatyaiwittayalai School（哈雅维泰莱学校） ； School of Information, Computer, and Communication Technology（信息、计算机与通信技术学院） ； Sirindhorn International Institute of Technology（Sirindhorn国际技术学院） ； Thammasat University（泰国朱拉大学） ； Pathum Thani, Thailand（帕亨他尼，泰国） 纠错

专题命中 病理影像 ：CT(summary_cn,abstract)；radiology(title,abstract)；diagnosis(abstract)；分类 cs.CV、eess.IV

AI总结 本文提出整合CT放射学与H&E病理学的双模AI框架，利用卷积神经网络提取特征并融合临床数据，通过可解释AI技术提升诊断性能，实现肺癌亚型分类。

Comments 16 pages, 6 figures, 3 tables, 8 equations

Integrating Pathology and CT Imaging for Personalized Recurrence Risk Prediction in Renal Cancer

Daniël Boeke, Cedrik Blommestijn, Rebecca N. Wray, Kalina Chupetlovska, Shangqi Gao, Zeyu Gao, Regina G. H. Beets-Tan, Mireia Crispin-Ortuzar, James O. Jones, Wilson Silva, Ines P. Machado

机构 * Department of Radiology, Antoni van Leeuwenhoek-Netherlands Cancer Institute, Amsterdam, The Netherlands（放射科，Antoni van Leeuwenhoek荷兰癌症研究所，阿姆斯特丹，荷兰） ； University of Amsterdam（阿姆斯特丹大学） ； AI Technology for Life, Department of Information and Computing Sciences, Department of Biology, Utrecht University（AI技术生命，信息与计算科学系，生物学系，乌得勒支大学） ； GROW Oncology, Maastricht University（GROW肿瘤学，马斯特里赫特大学） ； Department of Oncology, University of Cambridge（肿瘤科，剑桥大学） ； Cancer Research UK Cambridge Centre, University of Cambridge（英国癌症研究会剑桥中心，剑桥大学） ； Early Cancer Institute, University of Cambridge（早期癌症研究所，剑桥大学） ； Cambridge University Hospitals NHS Foundation Trust（剑桥大学医院 NHS 基础信托） 纠错

专题命中 病理影像 ：CT(title,abstract)；pathology(title,abstract)；radiology(abstract)；分类 cs.CV

Comments 12 pages, 2 figures, 1 table. Accepted at the Multimodal Learning and Fusion Across Scales for Clinical Decision Support (ML-CDS) Workshop, MICCAI 2025. This is the submitted version with authors, affiliations, and acknowledgements included; it has not undergone peer review or revisions. The final version will appear in the Springer Lecture Notes in Computer Science (LNCS) proceedings

On Validation of Search & Retrieval of Tissue Images in Digital Pathology

H. R. Tizhoosh

专题命中 病理影像 ：pathology(title,abstract)；medical image(abstract)；CT(abstract)；diagnosis(abstract)

Highdicom: A Python library for standardized encoding of image annotations and machine learning model outputs in pathology and radiology

Christopher P. Bridge, Chris Gorman, Steven Pieper, Sean W. Doyle, Jochen K. Lennerz, Jayashree Kalpathy-Cramer, David A. Clunie, Andriy Y. Fedorov, Markus D. Herrmann

专题命中 病理影像 ：pathology(title,abstract)；radiology(title,abstract)；分类 cs.CV、cs.LG、eess.IV

Physical Color Calibration of Digital Pathology Scanners for Robust Artificial Intelligence Assisted Cancer Diagnosis

Xiaoyi Ji, Richard Salmon, Nita Mulliqi, Umair Khan, Yinxi Wang, Anders Blilie, Henrik Olsson, Bodil Ginnerup Pedersen, Karina Dalsgaard Sørensen, Benedicte Parm Ulhøi, Svein R Kjosavik, Emilius AM Janssen, Mattias Rantalainen, Lars Egevad, Pekka Ruusuvuori, Martin Eklund, Kimmo Kartasalo

专题命中 病理影像 ：pathology(title,abstract)；diagnosis(title,abstract)；分类 cs.CV、q-bio、eess.IV

Knowledge-enhanced Pretraining for Vision-language Pathology Foundation Model on Cancer Diagnosis

基于知识增强的视觉语言病理基础模型用于癌症诊断

Xiao Zhou, Luoyi Sun, Dexuan He, Wenbin Guan, Ge Wang, Ruifen Wang, Lifeng Wang, Xiaojun Yuan, Xin Sun, Ya Zhang, Kun Sun, Yanfeng Wang, Weidi Xie

机构 * Shanghai Artificial Intelligence Laboratory（上海人工智能实验室） ； Shanghai Jiao Tong University（上海交通大学） ； Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine（上海交通大学医学院附属新华医院） ； School of Artificial Intelligence（人工智能学院） ； Department of Pathology（病理学部） ； Department of Oral Pathology（口腔病理学部） ； Department of Pediatric Hematology/Oncology（儿科血液肿瘤科） ； Clinical Research and Innovation Unit（临床研究与创新单元） ； Department of Pediatric Cardiology（儿童心脏病科） 纠错

专题命中 病理影像 ：pathology(title,abstract)；diagnosis(title,abstract)；分类 cs.CV、eess.IV

AI总结 本文提出KEEP模型，通过整合疾病知识图谱提升癌症诊断的视觉语言基础模型性能，显著优于现有方法。

Comments V2: fixed typos, updated experimental results, added ablation

A Computer-Aided Diagnosis System for Breast Pathology: A Deep Learning Approach with Model Interpretability from Pathological Perspective

Wei-Wen Hsu, Yongfang Wu, Chang Hao, Yu-Ling Hou, Xiang Gao, Yun Shao, Xueli Zhang, Tao He, Yanhong Tai

专题命中 病理影像 ：pathology(title,abstract)；diagnosis(title,abstract)；分类 cs.CV、eess.IV

Pathology-CoT: Learning Visual Chain-of-Thought Agent from Expert Whole Slide Image Diagnosis Behavior

Sheng Wang, Ruiming Wu, Charles Herndon, Yihang Liu, Shunsuke Koga, Jeanne Shen, Zhi Huang

机构 * Department of Pathology and Laboratory Medicine, University of Pennsylvania（病理学与实验室医学系，宾夕法尼亚大学） ； Department of Biostatistics, Epidemiology & Informatics, University of Pennsylvania（生物统计学、流行病学与信息学系，宾夕法尼亚大学） ； Department of Pathology, University of California at San Francisco（病理学系，加州大学旧金山分校） ； Department of Pathology, Stanford University（病理学系，斯坦福大学） ； Department of Electrical and System Engineering, University of Pennsylvania（电气与系统工程系，宾夕法尼亚大学） 纠错

专题命中 病理影像 ：pathology(title,abstract)；diagnosis(title)；clinical AI(abstract)；分类 cs.CV

Beyond Toy Benchmarks: A Systematic Evaluation of OOD Detection Methods For Plant Pathology Classification

超越玩具基准：对植物病理分类中OOD检测方法的系统评估

Devesh Shah

机构 * Independent Researcher（独立研究者） 纠错

专题命中 病理影像 ：pathology(title,summary_cn)；分类 cs.CV、cs.LG

AI总结 本文系统评估了六种OOD检测方法在Plant Pathology 2021数据集上的表现，发现能量基细调在多种OOD设置中表现最佳，同时保持了分布内准确率，并揭示了约束优化方法在中等规模数据集上的训练不稳定性。

Registration of pre-surgical MRI and whole-mount histopathology images in prostate cancer patients with radical prostatectomy via RAPSODI

Mirabela Rusu, Christian A. Kunder, Nikola C. Teslovich, Jeffrey B Wang, Rewa R. Sood, Wei Shao, Leo C. Chan, Robert West, Richard Fan, Pejman Ghanouni, James B. Brooks, Geoffrey A. Sonn

专题命中 病理影像 ：MRI(title,abstract)；pathology(abstract)；diagnosis(abstract)；radiology(abstract)

Comments version 2

An interpretable machine learning system for colorectal cancer diagnosis from pathology slides

Pedro C. Neto, Diana Montezuma, Sara P. Oliveira, Domingos Oliveira, João Fraga, Ana Monteiro, João Monteiro, Liliana Ribeiro, Sofia Gonçalves, Stefan Reinhard, Inti Zlobec, Isabel M. Pinto, Jaime S. Cardoso

专题命中 病理影像 ：pathology(title,abstract)；diagnosis(title)；分类 cs.CV、eess.IV

Comments Accepted at npj Precision Oncology. Available at: https://www.nature.com/articles/s41698-024-00539-4

Journal ref npj Precis. Onc. 8, 56 (2024)

Deep Learning Techniques for Cervical Cancer Diagnosis based on Pathology and Colposcopy Images

Hana Ahmadzadeh Sarhangi, Dorsa Beigifard, Elahe Farmani, Hamidreza Bolhasani

专题命中 病理影像 ：diagnosis(title,abstract)；pathology(title)；分类 cs.CV、eess.IV

Spatial-temporal Hierarchical Reinforcement Learning for Interpretable Pathology Image Super-Resolution

Wenting Chen, Jie Liu, Tommy W. S. Chow, Yixuan Yuan

专题命中 病理影像 ：pathology(title,abstract)；medical image(abstract)；diagnosis(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments Accepted to IEEE TRANSACTIONS ON MEDICAL IMAGING (TMI)

Structured Model Pruning for Efficient Inference in Computational Pathology

Mohammed Adnan, Qinle Ba, Nazim Shaikh, Shivam Kalra, Satarupa Mukherjee, Auranuch Lorsakul

专题命中 病理影像 ：pathology(title,abstract)；diagnosis(abstract)；biomedical(abstract)；分类 cs.CV、cs.LG、eess.IV

Computational Pathology for Brain Disorders

Gabriel Jimenez, Daniel Racoceanu

专题命中 病理影像 ：pathology(title,abstract)；medical image(abstract)；diagnosis(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments Machine Learning for Brain Disorders, 2022

Deep Biological Pathway Informed Pathology-Genomic Multimodal Survival Prediction

Lin Qiu, Aminollah Khormali, Kai Liu

专题命中 病理影像 ：pathology(title,abstract)；diagnosis(abstract)；biomedical(abstract)；分类 cs.LG、q-bio、eess.IV

Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomics, and Demographic Data

Can Cui, Han Liu, Quan Liu, Ruining Deng, Zuhayr Asad, Yaohong WangShilin Zhao, Haichun Yang, Bennett A. Landman, Yuankai Huo

专题命中 病理影像 ：pathology(title)；radiology(title)；diagnosis(abstract)；分类 cs.LG

CountPath: Automating Fragment Counting in Digital Pathology

Ana Beatriz Vieira, Maria Valente, Diana Montezuma, Tomé Albuquerque, Liliana Ribeiro, Domingos Oliveira, João Monteiro, Sofia Gonçalves, Isabel M. Pinto, Jaime S. Cardoso, Arlindo L. Oliveira

专题命中 病理影像 ：pathology(title,abstract)；medical image(abstract)；diagnosis(abstract)；分类 cs.CV、cs.LG

Comments 10 pages, 3 figures

Deep Learning for Fetal Inflammatory Response Diagnosis in the Umbilical Cord

Marina A. Ayad, Ramin Nateghi, Abhishek Sharma, Lawrence Chillrud, Tilly Seesillapachai, Lee A. D. Cooper, Jeffery A. Goldstein

专题命中 病理影像 ：diagnosis(title,abstract)；medical image(abstract)；pathology(abstract)；分类 cs.CV、eess.IV

Harnessing Intra-group Variations Via a Population-Level Context for Pathology Detection

P. Bilha Githinji, Xi Yuan, Zhenglin Chen, Ijaz Gul, Dingqi Shang, Wen Liang, Jianming Deng, Dan Zeng, Dongmei yu, Chenggang Yan, Peiwu Qin

专题命中 病理影像 ：pathology(title,abstract)；medical image(abstract)；biomedical(abstract)；分类 cs.CV、eess.IV

Towards More Transparent and Accurate Cancer Diagnosis with an Unsupervised CAE Approach

Zahra Tabatabaei, Adrian Colomer, Javier Oliver Moll, Valery Naranjo

专题命中 病理影像 ：diagnosis(title,abstract)；medical image(abstract)；pathology(abstract)；分类 cs.CV、eess.IV

Comments this paper is under review in Scientific reports

Journal ref IEEE Access ( Volume: 11)2023

A multi-institutional pediatric dataset of clinical radiology MRIs by the Children's Brain Tumor Network

Ariana M. Familiar, Anahita Fathi Kazerooni, Hannah Anderson, Aliaksandr Lubneuski, Karthik Viswanathan, Rocky Breslow, Nastaran Khalili, Sina Bagheri, Debanjan Haldar, Meen Chul Kim, Sherjeel Arif, Rachel Madhogarhia, Thinh Q. Nguyen, Elizabeth A. Frenkel, Zeinab Helili, Jessica Harrison, Keyvan Farahani, Marius George Linguraru, Ulas Bagci, Yury Velichko, Jeffrey Stevens, Sarah Leary, Robert M. Lober, Stephani Campion, Amy A. Smith, Denise Morinigo, Brian Rood, Kimberly Diamond, Ian F. Pollack, Melissa Williams, Arastoo Vossough, Jeffrey B. Ware, Sabine Mueller, Phillip B. Storm, Allison P. Heath, Angela J. Waanders, Jena V. Lilly, Jennifer L. Mason, Adam C. Resnick, Ali Nabavizadeh

专题命中 病理影像 ：radiology(title,abstract)；MRI(abstract)；pathology(abstract)；分类 cs.CV、eess.IV

Unsupervised Pathology Detection: A Deep Dive Into the State of the Art

Ioannis Lagogiannis, Felix Meissen, Georgios Kaissis, Daniel Rueckert

专题命中 病理影像 ：pathology(title,abstract)；medical image(abstract)；MRI(abstract)；分类 cs.CV、cs.LG

Comments 12 pages, 4 figures, accepted for publication in IEEE Transactions on Medical Imaging (added copyright, DOI information)

Multimodal Multitask Representation Learning for Pathology Biobank Metadata Prediction

Wei-Hung Weng, Yuannan Cai, Angela Lin, Fraser Tan, Po-Hsuan Cameron Chen

专题命中 病理影像 ：pathology(title,abstract)；diagnosis(abstract)；biomedical(abstract)；分类 cs.CV、cs.LG

Comments preprint version

Pathology-Aware Prototype Evolution via LLM-Driven Semantic Disambiguation for Multicenter Diabetic Retinopathy Diagnosis

基于LLM驱动语义消歧的病理感知原型演化用于多中心糖尿病视网膜病变诊断

Chunzheng Zhu, Yangfang Lin, Jialin Shao, Jianxin Lin, Yijun Wang

机构 * Hunan University（湖南大学） 纠错

专题命中 病理影像 ：pathology(title,abstract)；diagnosis(title)

AI总结 本文提出HAPM框架，通过整合细粒度病理描述和临床知识，提升多中心糖尿病视网膜病变诊断的准确性。

Comments ACMMM 2025

A Pathology-Based Machine Learning Method to Assist in Epithelial Dysplasia Diagnosis

Karoline da Rocha, José C. M. Bermudez, Elena R. C. Rivero, Márcio H. Costa

专题命中 病理影像 ：pathology(title)；diagnosis(title)；分类 cs.CV、cs.LG、eess.IV

Multimodal Model for Computational Pathology:Representation Learning and Image Compression

多模态模型用于计算病理学：表示学习与图像压缩

Peihang Wu, Zehong Chen, Lijian Xu

机构 * Shenzhen University of Advanced Technology（深圳大学先进技术学院） 纠错

专题命中 病理影像 ：pathology(title,abstract)；diagnosis(abstract)；biomedical(abstract)；分类 cs.CV

AI总结 本文探讨了多模态计算病理学中的表示学习和图像压缩技术，分析了自监督学习、多模态数据生成、参数高效适应及多代理协作推理等方向，旨在提升病理诊断的准确性和可解释性。