How similar are two images? In computational pathology, where Whole Slide Images (WSIs) of digitally scanned tissue samples from patients can be multi-gigapixels in size, determination of degree of similarity between two WSIs is a challenging task with a number of practical applications. In this work, we explore a novel strategy based on kernelized Maximum Mean Discrepancy (MMD) analysis for determination of pairwise similarity between WSIs. The proposed approach works by calculating MMD between two WSIs using kernels over deep features of image patches. This allows representation of an entire dataset of WSIs as a kernel matrix for WSI level clustering, weakly-supervised prediction of TP-53 mutation status in breast cancer patients from their routine WSIs as well as survival analysis with state of the art prediction performance. We believe that this work will open up further avenues for application of WSI-level kernels for predictive and prognostic tasks in computational pathology.
Brigham and Women’s Hospital（布莱根妇女医院）；Harvard Medical School（哈佛医学院）；Dana-Farber Cancer Institute（丹娜-法伯癌症研究所）；Broad Institute of Harvard and MIT（哈佛-麻省理工学院博德研究所）
DPsurv: Dual-Prototype Evidential Fusion for Uncertainty-Aware and Interpretable Whole-Slide Image Survival Prediction
National University of Singapore；National University of Singapore Guangzhou Research Translation；Innovation Institute；Imperial College London；Peking Union Medical College Hospital, Chinese Academy of Medical Sciences \& Peking Union Medical College；Hunan University；Institute of High Performance Computing, Agency for Science, Technology；Research (A STAR)
University of Warwick（华威大学）；University of Birmingham（伯明翰大学）；The Alan Turing Institute（艾伦·图灵研究所）；University Hospitals Coventry & Warwickshire（考文垂与沃里克郡大学医院）
Hierarchical Multi-Scale Graph Learning with Knowledge-Guided Attention for Whole-Slide Image Survival Analysis
Nanjing University of Information Science and Technology（南京信息工程大学）；Case Western Reserve University（凯斯西储大学）；Georgia Institute of Technology（佐治亚理工学院）；Emory University（埃默里大学）；Nanjing Women and Children's Healthcare Hospital（南京市妇幼保健院）；Guangdong Provincial People's Hospital（广东省人民医院）；Nanjing University of Science and Technology（南京理工大学）；Lishui Hospital of Zhejiang University（浙江大学丽水医院）
Netherlands Cancer Institute（荷兰癌症研究所）；University of Amsterdam（阿姆斯特丹大学）；VU University Amsterdam（阿姆斯特丹自由大学）；Ellogon AI B.V.（Ellogon AI 公司）；Radboud University Medical Center（拉德堡德大学医学中心）
Proscia, Inc.（Proscia公司）；University of Florida College of Medicine（佛罗里达大学医学院）；Sidney Kimmel Medical College at Thomas Jefferson University（托马斯·杰斐逊大学西德尼·金梅尔医学院）
University of Warwick（华威大学）；University of Birmingham（伯明翰大学）；University Hospitals Coventry & Warwickshire（考文垂和沃里克郡大学医院）；The Alan Turing Institute（艾伦·图灵研究所）
University of Warwick（华威大学）；University of Nottingham（诺丁汉大学）；Menoufia University（曼努菲亚大学）；University Hospital Coventry and Warwickshire（考文垂和华威大学医院）；Gunma University（群马大学）；University Hospitals Leicester（莱斯特大学医院）
Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology
Department of Biomedical Engineering, Yale University（生物医学工程系，耶鲁大学）；Department of Radiology & Biomedical Imaging, Yale University（放射科与生物医学成像系，耶鲁大学）；Department of Urology, Yale University（泌尿外科系，耶鲁大学）；Medical Scientist Training Program, Yale University（医学科学家培训计划，耶鲁大学）
Benchmarking foundation models as feature extractors for weakly-supervised computational pathology
Technical University Dresden（德累斯顿工业大学）；StratifAI GmbH（StratifAI有限公司）；University Hospital and Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden（德累斯顿工业大学卡尔·古斯塔夫·卡鲁斯医学院附属医院）；National Center for Tumor Diseases Dresden (NCT/UCC)（德累斯顿国家肿瘤疾病中心（NCT/UCC））；German Cancer Research Center (DKFZ)（德国癌症研究中心（DKFZ））；National Center for Tumor Diseases (NCT)（国家肿瘤疾病中心（NCT））；German Cancer Consortium (DKTK)（德国癌症联盟（DKTK））；Kepler University Hospital, Johannes Kepler University Linz（约翰内斯·开普勒大学林茨开普勒大学医院）；University of Bern（伯尔尼大学）；University Hospital Schleswig-Holstein（石勒苏益格-荷尔斯泰因大学医院）；University Medical Center Mainz（美因茨大学医学中心）；University Hospital Aachen（亚琛大学医院）；European Institute of Oncology IRCCS（欧洲肿瘤研究所IRCCS）；University Hospital Heidelberg（海德堡大学医院）
