Computational Pathology

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Overview

Computational pathology studies how to extract diagnostic and biological information from digitized tissue and cell images, including whole-slide images, biopsies, and cytology. Common approaches include convolutional and vision-transformer models, weakly supervised multiple-instance learning for slide-level labels, and segmentation or graph methods for cells and tissue structure; benchmarks such as CAMELYON and PANDA test detection and grading. Foundation and vision-language models increasingly align image features with reports, clinical records, and molecular data for retrieval, prognosis, virtual staining, and spatial gene-expression prediction. A central challenge is ensuring that models remain reliable across hospitals, scanners, and stains while producing interpretable evidence and demonstrating benefit in prospective clinical workflows.

Latest papers

CardsList

279 papers33 papers in the last four weeks, up 18% on the four weeks before. 0.2% of all new papers.

  1. Accurate and Scalable Multimodal Pathology Retrieval via Attentive Vision-Language Alignment

    Oct 27, 2025Hongyi Wang, Zhengjie Zhu, Junlin Hou +13Multimodal IRComputational Pathology

    Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong SAR, China · College of Computer Science and Technology, Zhejiang University, Hangzhou, China. · School of Medicine, Wake Forest University, Winston-Salem, NC, USA. +11

  2. Multimodal Feature Prototype Learning for Interpretable and Discriminative Cancer Survival Prediction

    Oct 7, 2025Shuo Jiang, Zhuwen Chen, Liaoman Xu +6Computational PathologyCancer Survival Prediction

    Hangzhou Dianzi University, Hangzhou 310018, China · School of Information and Communication Technology, Griffith University, QLD 4215, Australia · Shenzhen Research Institute of Big Data, Shenzhen 518172, China +3

  3. Streamline pathology foundation model by cross-magnification distillation

    Sep 27, 2025Ziyu Su, Abdul Rehman Akbar, Usama Sajjad +2Pathology Foundation ModelsComputational Pathology

    Department of Pathology, College of Medicine, The Ohio State University Wexner Medical Center, Columbus, OH,USA

  4. Segmentation and Classification of Pap Smear Images for Cervical Cancer Detection Using Deep Learning

    Aug 25, 2025Nisreen Albzour, Sarah S. LamComputational PathologyMedical Image Classification

    Binghamton University, Binghamton, NY, USA

  5. Towards Accurate and Lightweight Peripheral Neuroblastic Tumor Diagnosis via Contrastive Multi-scale Pathological Image Analysis

    Apr 18, 2025Zhu Zhu, Shuo Jiang, Jingyuan Zheng +7Computational PathologyOncology

    Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, 310000, China · Hangzhou Dianzi University, Hangzhou 310018, China · Chinese University of Hong Kong, Hong Kong SAR, China +1

  6. PathoHR: Breast Cancer Survival Prediction on High-Resolution Pathological Images

    Mar 23, 2025Yang Luo, Shiru Wang, Jun Liu +7Computational PathologyCancer Survival Prediction

    XJLTU · Dartmouth · NUP +7

  7. CrossFusion: A Multi-Scale Cross-Attention Convolutional Fusion Model for Cancer Survival Prediction

    Mar 3, 2025Rustin Soraki, Huayu Wang, Sitong Liu +2Computational PathologyCancer Survival Prediction

    University of Washington, Seattle, WA · University of California, Los Angeles, CA

  8. Histopathology Multi-modal Embedding for Pathology Composed Retrieval

    Feb 11, 2025Qifeng Zhou, Wenliang Zhong, Thao M. Dang +4Computational PathologyHealthcare

    The University of Texas at Arlington, Arlington TX 76010, USA

  9. Contrastive Deep Learning Reveals Age Biomarkers in Histopathological Skin Biopsies

    Nov 25, 2024Kaustubh Chakradeo, Pernille Nielsen, Lise Mette Rahbek Gjerdrum +5Computational PathologyMortality Prediction

    University of Copenhagen, Section of Epidemiology, Department of Public Health, Copenhagen, Denmark · University of Copenhagen, Section of Epidemiology, Department of Public Health, Copenhagen, 1353, Denmark · Technical University of Denmark, Department of Applied Mathematics and Computer Science, Denmark +7