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. SCALE: Synthetic Calibration via Agreement Labeling in Embedding Space

    Sep 30, 2026Wenjun Liu, Saeed HassanpourComputational PathologyPathology Foundation Models

    Department of Computer Science Dartmouth College Hanover, NH, USA · Departments of Biomedical Data Science, Computer Science, and Epidemiology Dartmouth College, Hanover, NH, USA

  2. Detail in Context: A Dual-Scale Machine Learning Framework for Mycosis Fungoides Detection

    Sep 29, 2026Mohamed Hazem, Tarek Waleed, Omar Khaled +8Computational PathologyMedical Diagnosis

    Faculty of Engineering, Cairo University, Giza, Egypt · Dermatology Department, Faculty of Medicine, Cairo University, Cairo, Egypt

  3. HERO: Histology Encoder for Robust Representation in Oncology

    Sep 28, 2026Zhi Li, Eghbal Amidi, Yating Cheng +11Computational PathologyDomain Generalization

    Caris Life Sciences, Irving, TX, United States

  4. MoSPR: Histology-to-Gene Expression Prediction with Morpho-Spatial Macrostates and Low-Rank Molecular Programs

    Sep 28, 2026Dongmyung Shin, Geongyu Lee, Yesung Cho +1Computational PathologyExplainable Medical Image Analysis

    OmixAI Co. Ltd. · Oncocross Co. Ltd. · Kyunghee University

  5. See, Measure, and Reason: Learning Visually Grounded Reasoning in Pathology

    Sep 28, 2026Chengyang Zhang, Wenchuan Zhang, Bo Li +8Computational PathologyMedical VQA

    College of Computer Science, Sichuan University · Department of Pathology and Institute of Clinical Pathology, West China Hospital, Sichuan University · Department of Computer Science, School of Computing, National University of Singapore +1

  6. Can Protein-Derived Knowledge Improve Pathology Foundation Models?

    Sep 27, 2026Di Zhang, Zhangpeng Gong, Jiashuai Liu +10Pathology Foundation ModelsComputational Pathology

    School of Computer Science and Technology, Xi’an Jiaotong University · Tsinghua Shenzhen International Graduate School, Tsinghua University · University of Cambridge +4

  7. CytoSPM: Open-Vocabulary Cytopathology Detection with Structured Prompt Bank

    Sep 25, 2026Wenjie Li, Zishan Xu, Jinyang Huang +3Computational PathologyOpen-Vocabulary Object Detection

    Central South University · Shanghai Jiao Tong University

  8. TAM-Chain: Multi-Scale Thyroid Cytology Classification via Absorbing Markov Chains and Shannon Entropy Uncertainty Quantification for False-Negative Suppression and Domain-Shift Adaptation

    Sep 23, 2026Hai Pham NgocComputational PathologyDomain Adaptation

    Faculty of Mathematics, Mechanics and Informatics, VNU University of Science

  9. FFM-CP: Cross-Backbone Fusion of Vision-Language Foundation Models for Few-Shot Computational Pathology

    Sep 23, 2026Anh-Tien Nguyen, Trung DQ. Dang, Nghiem Tuong Diep +9Computational PathologyFew-Shot Learning

    Institute for Predictive Deep Learning for Medicine and Healthcare, Giessen University, Germany · Department of Medical Informatics, University Medicine Gottingen, Germany · Department of Applied Mathematics and Computer Science, Technical University of Denmark, Denmark +8

  10. SpaFactor: Lightweight Spatial Context-Aware Gene Program Modeling for Histology-to-Transcriptomics Inference

    Sep 23, 2026Shiting Ruan, Xitong Ling, Qiming He +6Computational PathologySpatial Transcriptomics

    Shenzhen International Graduate School, Tsinghua University, Shenzhen, China · Fuzhou University, Fuzhou, Fujian, China · Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China +1

  11. Patch-to-Global: Random Patch Diffusion for Globally Consistent Megapixel Artifact Inpainting in Whole Slide Images

    Sep 21, 2026Hyeseong Lee, Eunsu Kim, D M Bappy +6Computational PathologyDiffusion Models for Image Restoration

    Department of Biomedical Informatics, Korea University College of Medicine, Seoul, Korea · Department of Pathology, Korea University Anam Hospital, College of Medicine, Korea University, Seoul, Korea · Seegene Medical Foundation, Seoul, Korea +3

  12. Statistical Testing for Multiple Instance Learning via Selective Inference with Applications to Computational Pathology

    Sep 21, 2026Noriaki Hashimoto, Shuichi Nishino, Teruyuki Katsuoka +7Multiple Instance LearningSelective Inference

    RIKEN · Nagoya University · Institute of Science Tokyo +2

  13. WILSON - Multi-magnification composites as a foundation for patient-level pathology analysis and diagnostic text generation

    Sep 20, 2026Saghir Alfasly, Wataru Uegami, Sobhan Hemati +17Pathology Foundation ModelsComputational Pathology

    KIMIA Lab, Department of AI & Informatics, Mayo Clinic, Rochester, MN, USA. · Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA. · Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA. +3

  14. Learning Where to Focus: Self-Supervised Multi-Scale ViTs for Histopathology

    Sep 16, 2026Anabel Stammer, Valay Bundele, Mehran Hosseinzadeh +1Adaptive TokenizationComputational Pathology

    Eberhard Karls Universität Tübingen, Germany

  15. End-to-End Cell Detection via Instance-aware Graph Modeling

    Sep 14, 2026Ruochen Liu, Yalin Zheng, Jingxin Liu +5Computational PathologyGraph Representation Learning

    Faculty of Science and Engineering, University of Liverpool, Liverpool, L69 3GJ, U.K. · Department of Eye and Vision Sciences, University of Liverpool, Liverpool, L7 8TX, U.K. · School of AI and Advanced Computing, Xi’an Jiaotong-Liverpool University, Suzhou, 215400, China +3

  16. Weakly Supervised Spatial Grounding for Discriminative Attention-Based Ultrasound-Histopathology Alignment in Prostate Cancer Grading

    Sep 14, 2026Obed Korshie Dzikunu, Emma Willis, Mohammad Mahdi Abootorabi +7Computational PathologyCross-Modal Knowledge Distillation

    Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, Canada · Vector Institute, Toronto, Canada · School of Computing, Queen’s University, Kingston, Canada +3

  17. Sharing standardized image-derived data in computational pathology using DICOM

    Sep 13, 2026Daniela P. Schacherer, Christopher P. Bridge, David Clunie +13Computational PathologyMedical Imaging

    Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany · Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, USA · Harvard Medical School, Boston, USA +9

  18. Causal multi-modal AI for personalized chemosensitivity prediction

    Sep 11, 2026Dhruva Biswas, Jeroen Berrevoets, Alec McClean +31Cancer Drug Response PredictionClinical Prediction

    Ataraxis AI, New York, NY, USA. · Centre for Inflammation Biology and Cancer Immunology, King’s College London, London, UK. · Department of Medical Oncology, Guy’s Hospital, London, UK. +20

  19. HemaHier: Chain-Conditioned Ordinal Hierarchies for Lineage-Aware Bone-Marrow Cytology

    Sep 11, 2026Afshin Bozorgpour, Peter Schüffler, Edgar Jost +1Computational PathologyHierarchical Classification

    Faculty of Informatics and Data Science, University of Regensburg, Germany · Institute of Pathology, TUM School of Medicine and Health, Technical University of Munich, Germany · Munich Center for Machine Learning, Germany +4

  20. Conditioning noise is a free regularizer for LoRA fine-tuning: no pathology encoder required for diffusion-based artifact detection in histopathology

    Sep 11, 2026Konstantinos Moutselos, Ilias MaglogiannisComputational PathologyDiffusion Model Fine-Tuning

    Department of Digital Systems, University of Piraeus, Piraeus, Greece.

  21. Seamless Whole Slide Label-Free Virtual Staining

    Sep 9, 2026Dou Hoon Kwark, Kianoush Falahkheirkhah, Ji-hun Oh +3Computational PathologyVirtual Staining

    University of Illinois Urbana-Champaign, Urbana, IL, USA · National Center for Supercomputing Applications, Urbana, IL, USA

  22. CAR-MIL: Counterfactual Attention Regularization for Multiple Instance Learning

    Sep 8, 2026Imane Chraki, Pierre Marza, Stergios Christodoulidis +1Computational PathologyWeakly Supervised Learning

    Université Paris-Saclay, CentraleSupélec, Gustave Roussy, INSERM, IHU PRISM, Cancer Data Science Unit, France · Université Paris-Saclay, CentraleSupélec, MICS Laboratory, France

  23. TAP-Path: Task-Adaptive Structural and Token Pruning for Efficient and Trustworthy Pathology Foundation Models

    Sep 3, 2026Mehedi Hasan, Ashfak Yeafi, Md Khairul IslamComputational PathologyPathology Foundation Models

    Department of Computer Science and Engineering, Brac University, Dhaka, Bangladesh · EEE, Khulna University of Engineering & Technology, Khulna, Bangladesh · Mathematics and Computer Science, Hobart and William Smith Colleges, Geneva, NY, USA

  24. Seeing Beyond the Lesion: Disease Recognition from Reactive CNS Tissue

    Sep 2, 2026Jan Schnorrenberg, Jan Ernsting, Enrico Küllenberg +3Computational PathologyPathology Foundation Models

    Institute of Neuropathology, University Hospital Münster, Münster, Germany · Institute for Geoinformatics, University of Münster, Münster, Germany · Faculty of Mathematics and Computer Science, University of Münster, Münster, Germany +2

  25. Synergistic Information Disentanglement for Omni-modal Slide Representation Learning in Computational Pathology

    Sep 2, 2026Mingxin Liu, Chengfei Cai, Anwen Lu +5Multimodal SSLMedical Image Representation Learning

    Jiangsu Key Laboratory of Intelligent Medical Image Computing, School of Artificial Intelligence, Nanjing University of Information Science and Technology, Nanjing, China · Jiangsu Key Laboratory of Intelligent Drug Screening and Repositioning, College of Information Engineering, Taizhou University, Taizhou, China · College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China

  26. Morphology signal in whole slide image foundation models can automatically triage slides

    Sep 2, 2026Ayushi Sinha, Shashank Yadav, Benjamin Holmes +9Computational PathologyPathology Foundation Models

    Department of Radiology, Mayo Clinic, Rochester MN · Department of Radiation Oncology, Mayo Clinic, Rochester MN · AI Program, Mayo Clinic, Rochester MN +4

  27. Semantic-Guided Multimodal Preprocessing for Vision Transformer-Based Clear Cell Renal Cell Carcinoma Grading

    Sep 1, 2026Fatemeh Javadian, Zhu Chen, Zahra Aminparast +1Computational PathologyMultimodal Robustness

    Institute of Imaging and Computer Vision, RWTH Aachen University, Aachen, Germany · Machine Learning for Medical Data, Faculty of Mathematics and Natural Sciences, Heinrich Heine University Düsseldorf, Düsseldorf, Germany · Institute of Medical Sciences, Kermanshah University, Medical School,Sep Kermanshah, Iran

  28. StainPresetNet: Stain Preset Network for Fast Multi-to-Multi Stain Normalization

    Sep 1, 2026Hongtao Kang, Die Luo, Li Chen +4Computational PathologyImage Enhancement

    School of Biomedical Engineering and Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, Guangdong 510515, China · School of Computer Science, Hubei University of Technology, Wuhan, Hubei 430068, China · Department of Clinical Laboratory, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China +3

  29. Semi-Supervised Virtual Staining via Morphology Preservation and Histopathological Realism Constraints

    Sep 1, 2026Baoshun Wang, Weiping Lin, Linwu Wang +3Computational PathologyImage-to-Image Translation

    Department of Computer Science, School of Informatics, Xiamen University, Xiamen 361005, China · EuroMov Digital Health in Motion, Univ Montpellier, IMT Mines Ales, Ales, France · Service de M´edecine Nucl´eaire, Centre Hospitalier Universitaire de Nˆımes, Universit´e de Montpellier, Nˆımes, France

  30. Benchmarking Vision-Language Models for Automated Pathology Diagnosis and Report Generation

    Sep 1, 2026Yumi Lee, Harim Oh, Hyoryung Kim +52Computational PathologyMedical VLMs