医学 AI

A multimodal vision foundation model for generalizable knee pathology

一种用于通用膝部病理的多模态视觉基础模型

Kang Yu, Dingyu Wang, Zimu Yuan, Nan Zhou, Jiajun Liu, Jiaxin Liu, Shanggui Liu, Yaoyan Zheng, Huishu Yuan, Di Huang, Dong Jiang

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

AI总结 OrthoFoundation是一种多模态视觉基础模型，通过自监督学习在膝关节影像上实现高泛化能力，提升骨科影像诊断的准确性和效率。

Detecting Performance Degradation under Data Shift in Pathology Vision-Language Model

在病理视觉-语言模型中检测数据偏移下的性能退化

Hao Guan, Li Zhou

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

AI总结 本研究提出DomainSAT工具，通过输入数据偏移检测与输出置信度指标结合，提升病理VLM在数据偏移下的性能退化检测可靠性。

Comments 8 pages, 6 figures

USB: Unified Synthetic Brain Framework for Bidirectional Pathology-Healthy Generation and Editing

USB：统一合成大脑框架用于双向病理-健康生成与编辑

Jun Wang, Peirong Liu

机构 * Department of Electrical and Computer Engineering, Data Science and AI Institute, Johns Hopkins University（电气与计算机工程系，数据科学与人工智能研究所，约翰霍普金斯大学） 纠错

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

AI总结 USB提出统一合成大脑框架，实现病理与健康脑图像的双向生成和编辑，通过配对扩散机制和一致性指导算法提升生成质量与解剖一致性。

Comments 16 pages, 17 figures

Foundation Models -- A Panacea for Artificial Intelligence in Pathology?

Nita Mulliqi, Anders Blilie, Xiaoyi Ji, Kelvin Szolnoky, Henrik Olsson, Sol Erika Boman, Matteo Titus, Geraldine Martinez Gonzalez, Julia Anna Mielcarz, Masi Valkonen, Einar Gudlaugsson, Svein R. Kjosavik, José Asenjo, Marcello Gambacorta, Paolo Libretti, Marcin Braun, Radzislaw Kordek, Roman Łowicki, Kristina Hotakainen, Päivi Väre, Bodil Ginnerup Pedersen, Karina Dalsgaard Sørensen, Benedicte Parm Ulhøi, Pekka Ruusuvuori, Brett Delahunt, Hemamali Samaratunga, Toyonori Tsuzuki, Emilius A. M. Janssen, Lars Egevad, Martin Eklund, Kimmo Kartasalo

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

Comments 50 pages, 15 figures and an appendix (study protocol) which is previously published, see https://doi.org/10.1101/2024.07.04.24309948; updated authors list format

Efficient Self-Supervised Grading of Prostate Cancer Pathology

Riddhasree Bhattacharyya, Surochita Pal Das, Sushmita Mitra

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

Pathology Foundation Models

Mieko Ochi, Daisuke Komura, Shumpei Ishikawa

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

Comments 19 pages, 1 figure, 3 tables

A Novel and Efficient Tumor Detection Framework for Pancreatic Cancer via CT Images

Zhengdong Zhang, Shuai Li, Ziyang Wang, Yun Lu

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

Comments 5 pages, 5 figures

A robust and scalable framework for hallucination detection in virtual tissue staining and digital pathology

Luzhe Huang, Yuzhu Li, Nir Pillar, Tal Keidar Haran, William Dean Wallace, Aydogan Ozcan

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

Comments 45 Pages, 22 Figures, 2 Tables

Journal ref Nature Biomedical Engineering (2025)

Pseudo-healthy synthesis with pathology disentanglement and adversarial learning

Tian Xia, Agisilaos Chartsias, Sotirios A. Tsaftaris

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

Comments This paper has been accepted by Medical Image Analysis

Automated Identification of Thoracic Pathology from Chest Radiographs with Enhanced Training Pipeline

Adora M. DSouza, Anas Z. Abidin, Axel Wismüller

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

Comments 6 pages, 1 figure, 2 tables

Journal ref Proc. SPIE 10950, Medical Imaging 2019: Computer-Aided Diagnosis, vol. 10950, p. 109503F, (2019)

The Plant Pathology 2020 challenge dataset to classify foliar disease of apples

Ranjita Thapa, Noah Snavely, Serge Belongie, Awais Khan

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

Comments 11 pages, 5 figures, Kaggle competition website: https://www.kaggle.com/c/plant-pathology-2020-fgvc7, CVPR fine-grained visual categorization website: https://sites.google.com/view/fgvc7/competitions

Radiomic Feature Selection Using Gradient Loss of Deep Neural Network for Lung Cancer Stage Detection

基于深度神经网络梯度损失的放射组学特征选择用于肺癌分期检测

Hina Shakir, Mohammad Mohatram, Javeed Hussain, Syed Rizwan Ali, Muhammad Irfan Memon

机构 * Department of Software Engineering, Bahria University（巴尔ia大学软件工程系） ； Global College of Engineering and Technology（全球工程与技术学院） ； Software Engineering & Business Incubation Center, Bahria University（软件工程与企业孵化中心，巴尔ia大学） 纠错

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

AI总结 提出GL-RFE框架，利用深度神经网络梯度敏感性分析递归消除低贡献特征，从106个放射组学特征中选出前15个用于肺癌早晚期分类，准确率达90.22%。

Journal ref J. Vis. Exp. (230), e70181, (2026)

Virchow: A Million-Slide Digital Pathology Foundation Model

Virchow：百万级数字病理学基础模型

Eugene Vorontsov, Alican Bozkurt, Adam Casson, George Shaikovski, Michal Zelechowski, Siqi Liu, Kristen Severson, Eric Zimmermann, James Hall, Neil Tenenholtz, Nicolo Fusi, Philippe Mathieu, Alexander van Eck, Donghun Lee, Julian Viret, Eric Robert, Yi Kan Wang, Jeremy D. Kunz, Matthew C. H. Lee, Jan Bernhard, Ran A. Godrich, Gerard Oakley, Ewan Millar, Matthew Hanna, Juan Retamero, William A. Moye, Razik Yousfi, Christopher Kanan, David Klimstra, Brandon Rothrock, Thomas J. Fuchs

机构 * Paige ； Microsoft Research（微软研究院） ； NSW Health Pathology（新南威尔士州卫生病理学） ； St George Hospital（圣乔治医院） ； Memorial Sloan Kettering Cancer Center（纪念斯隆凯特琳癌症中心） ； University of Rochester（罗切斯特大学） 纠错

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

AI总结 提出Virchow，一个基于DINOv2自监督学习、在150万张H&E染色全切片图像上训练的6.32亿参数视觉Transformer模型，用于计算病理学，在泛癌检测和生物标志物预测任务上达到最先进性能。

Towards Robust Foundation Models for Digital Pathology

Jonah Kömen, Edwin D. de Jong, Julius Hense, Hannah Marienwald, Jonas Dippel, Philip Naumann, Eric Marcus, Lukas Ruff, Maximilian Alber, Jonas Teuwen, Frederick Klauschen, Klaus-Robert Müller

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

Mixed Supervision of Histopathology Improves Prostate Cancer Classification from MRI

Abhejit Rajagopal, Antonio C. Westphalen, Nathan Velarde, Tim Ullrich, Jeffry P. Simko, Hao Nguyen, Thomas A. Hope, Peder E. Z. Larson, Kirti Magudia

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

A review of machine learning approaches, challenges and prospects for computational tumor pathology

Liangrui Pan, Zhichao Feng, Shaoliang Peng

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

Symmetric-Constrained Irregular Structure Inpainting for Brain MRI Registration with Tumor Pathology

Xiaofeng Liu, Fangxu Xing, Chao Yang, C. -C. Jay Kuo, Georges ElFakhri, Jonghye Woo

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

Comments Published at MICCAI Brainles 2020

Data Efficient and Weakly Supervised Computational Pathology on Whole Slide Images

Ming Y. Lu, Drew F. K. Williamson, Tiffany Y. Chen, Richard J. Chen, Matteo Barbieri, Faisal Mahmood

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

Unmasking Biases and Reliability Concerns in Convolutional Neural Networks Analysis of Cancer Pathology Images

揭示卷积神经网络在癌症病理图像分析中的偏见与可靠性问题

Michael Okonoda, Eder Martinez, Abhilekha Dalal, Lior Shamir

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

AI总结 研究通过分析13个常用癌症数据集，发现CNN在无临床信息的裁剪图像上仍能保持高准确率，揭示了评估方法可能存在的偏见问题。

Comments Electronics, published

Journal ref Electronics, 15(6), 1182, 2026

HistoViT: Vision Transformer for Accurate and Scalable Histopathological Cancer Diagnosis

Faisal Ahmed

机构 * Department of Data Science and Mathematics, Embry-Riddle Aeronautical University（数据科学与数学系，埃姆布里-里德航空航天大学） 纠错

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

Comments 13 pages, 3 Figures

DepViT-CAD: Deployable Vision Transformer-Based Cancer Diagnosis in Histopathology

Ashkan Shakarami, Lorenzo Nicole, Rocco Cappellesso, Angelo Paolo Dei Tos, Stefano Ghidoni

机构 * University of Padova, Italy（意大利帕多瓦大学） ； Unit of Surgical Pathology and Cytopathology, Ospedale dell’Angelo, Italy（意大利奥斯佩达莱-安吉洛外科病理学与细胞病理学单位） ； Pathological Anatomy Unit, Padova University-Hospital, Italy（意大利帕多瓦大学医院病理学解剖单位） ； Department of Medicine, University of Padova, Italy（意大利帕多瓦大学医学系） ； Department of Integrated Diagnostics, Azienda Ospedale-Università Padova, Italy（意大利帕多瓦医院-大学整合诊断系） 纠错

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

Comments 25 pages, 15 figures

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology

Lianghui Zhu, Xitong Ling, Minxi Ouyang, Xiaoping Liu, Tian Guan, Mingxi Fu, Zhiqiang Cheng, Fanglei Fu, Maomao Zeng, Liming Liu, Song Duan, Qiang Huang, Ying Xiao, Jianming Li, Shanming Lu, Zhenghua Piao, Mingxi Zhu, Yibo Jin, Shan Xu, Qiming He, Yizhi Wang, Junru Cheng, Xuanyu Wang, Luxi Xie, Houqiang Li, Sufang Tian, Yonghong He

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

A Hybrid Deep Feature-Based Deformable Image Registration Method for Pathology Images

Chulong Zhang, Yuming Jiang, Na Li, Zhicheng Zhang, Md Tauhidul Islam, Jingjing Dai, Lin Liu, Wenfeng He, Wenjian Qin, Jing Xiong, Yaoqin Xie, Xiaokun Liang

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

Comments 22 pages, 12 figures. This work has been submitted to the IEEE for possible publication

Predictive uncertainty estimation in deep learning for lung carcinoma classification in digital pathology under real dataset shifts

Abdur R. Fayjie, Jutika Borah, Florencia Carbone, Jan Tack, Patrick Vandewalle

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

Comments 17 pages, 2 figures, 5 tables

Renal digital pathology visual knowledge search platform based on language large model and book knowledge

Xiaomin Lv, Chong Lai, Liya Ding, Maode Lai, Qingrong Sun

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

Comments 9 pages, 6 figures

Equipping Computational Pathology Systems with Artifact Processing Pipelines: A Showcase for Computation and Performance Trade-offs

Neel Kanwal, Farbod Khoraminia, Umay Kiraz, Andres Mosquera-Zamudio, Carlos Monteagudo, Emiel A. M. Janssen, Tahlita C. M. Zuiverloon, Chunmig Rong, Kjersti Engan

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

Comments Submitted to BMC Medical Informatics and Decision Making Journal

SPLICE -- Streamlining Digital Pathology Image Processing

Areej Alsaafin, Peyman Nejat, Abubakr Shafique, Jibran Khan, Saghir Alfasly, Ghazal Alabtah, H. R. Tizhoosh

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

Comments Under review for publication

Tissue Artifact Segmentation and Severity Analysis for Automated Diagnosis Using Whole Slide Images

Galib Muhammad Shahriar Himel

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

Comments Master's thesis, 60 pages, 21 figures, 16 tables

TIAViz: A Browser-based Visualization Tool for Computational Pathology Models

Mark Eastwood, John Pocock, Mostafa Jahanifar, Adam Shephard, Skiros Habib, Ethar Alzaid, Abdullah Alsalemi, Jan Lukas Robertus, Nasir Rajpoot, Shan Raza, Fayyaz Minhas

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

Comments Application note to be submitted to bioinformatics

Assessing and Enhancing Robustness of Deep Learning Models with Corruption Emulation in Digital Pathology

Peixiang Huang, Songtao Zhang, Yulu Gan, Rui Xu, Rongqi Zhu, Wenkang Qin, Limei Guo, Shan Jiang, Lin Luo

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