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. Dictionary-based Pathology Mining with Hard-instance-assisted Classifier Debiasing for Genetic Biomarker Prediction from WSIs

    Mar 26, 2026Ling Zhang, Boxiang Yun, Ting Jin +3Computational PathologyHistopathology Image Classification

    Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, China · Department of General Surgery, Tongji Hospital, Tongji University School of Medicine, Shanghai 200065, China

  2. Detection and Classification of (Pre)Cancerous Cells in Pap Smears: An Ensemble Strategy for the RIVA Cervical Cytology Challenge

    Mar 24, 2026Lautaro Kogan, María Victoria RíosComputational PathologyClass-Imbalanced Learning

    Universidad de San Andrés, Buenos Aires, Argentina

  3. Mixture of Mini Experts: Overcoming the Linear Layer Bottleneck in Multiple Instance Learning

    Mar 23, 2026Daniel Shao, Joel Runevic, Richard J. Chen +4Multiple Instance LearningHistopathology Image Classification

    Massachusetts Institute of Technology, Cambridge MA · Harvard University, Cambridge MA · Emory University, Atlanta GA +1

  4. PPGL-Swarm: Integrated Multimodal Risk Stratification and Hereditary Syndrome Detection in Pheochromocytoma and Paraganglioma

    Mar 23, 2026Zelin Liu, Xiangfu Yu, Jie Huang +6Medical DiagnosisClinical Risk Prediction

    Shanghai Jiao Tong University · The Chinese University of Hong Kong · Ruijin Hospital +1

  5. GOLDMARK: Governed Outcome-Linked Diagnostic Model Assessment Reference Kit

    Mar 21, 2026Chad Vanderbilt, Gabriele Campanella, Siddharth Singi +10Computational PathologyMedical Image Benchmarks

    Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA · Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, USA

  6. HiPath: Hierarchical Vision-Language Alignment for Structured Pathology Report Prediction

    Mar 20, 2026Ruicheng Yuan, Zhenxuan Zhang, Anbang Wang +5Computational PathologyMedical Report Generation

    College of Computer Science and Electronic Engineering, Hunan University, Changsha, Hunan, China · Department of Bioengineering and Imperial-X, Imperial College London, London, UK · Department of Pathology, Xiangtan Maternal and Child Health Hospital, Xiangtan, Hunan, China +1

  7. Multimodal Model for Computational Pathology:Representation Learning and Image Compression

    Mar 19, 2026Peihang Wu, Zehong Chen, Lijian XuComputational PathologyWhole-Slide Image Analysis

    Shenzhen University of Advanced Technology

  8. CytoSyn: a Foundation Diffusion Model for Histopathology -- Tech Report

    Mar 18, 2026Thomas Duboudin, Xavier Fontaine, Etienne Andrier +7Medical Image SynthesisPathology Foundation Models

    Owkin, Inc

  9. HistoAtlas: A Pan-Cancer Morphology Atlas Linking Histomics to Molecular Programs and Clinical Outcomes

    Mar 17, 2026Pierre-Antoine BannierComputational PathologyWhole-Slide Image Analysis

  10. HGP-Mamba: Integrating Histology and Generated Protein Features for Mamba-based Multimodal Survival Risk Prediction

    Mar 17, 2026Jing Dai, Chen Wu, Ming Wu +4Cancer Survival PredictionMultimodal Survival Analysis

    Cancer Hospital of Dalian University of Technology, Shenyang, China · School of Biomedical Engineering, Faculty of Medicine, Dalian University of Technology, Dalian, China · Key Laboratory of Integrated Circuit and Biomedical Electronic System, Dalian University of Technology, Dalian, China

  11. PathGLS: Evaluating Pathology Vision-Language Models without Ground Truth through Multi-Dimensional Consistency

    Mar 17, 2026Minbing Chen, Zhu Meng, Fei SuVLM EvaluationMedical VLMs

    Beijing University of Posts and Telecommunications

  12. A Comprehensive Benchmark of Histopathology Foundation Models for Kidney Digital Pathology Images

    Mar 16, 2026Harishwar Reddy Kasireddy, Patricio S. La Rosa, Akshita Gupta +12Pathology Foundation ModelsComputational Pathology

    Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA · Seed Production Innovation, Crop Science Division, Bayer Company, St. Louis, MO, USA · Division of Medicine – Quantitative Health, University of Florida, Gainesville, FL, USA +9

  13. Domain Adaptation Without the Compute Burden for Efficient Whole Slide Image Analysis

    Mar 16, 2026Umar Marikkar, Muhammad Awais, Sara AtitoWhole-Slide Image AnalysisComputational Pathology

    Institute for People-Centered AI, University of Surrey · Centre of Vision, Speech and Signal Processing, University of Surrey

  14. Deep Learning From Routine Histology Improves Risk Stratification for Biochemical Recurrence in Prostate Cancer

    Mar 15, 2026Clément Grisi, Khrystyna Faryna, Nefise Uysal +11Clinical Risk PredictionOncology

    Department of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands · Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy · Surgical Pathology Unit, Verona University Hospital Trust, Verona, Italy +4

  15. Advancing Cancer Prognosis with Hierarchical Fusion of Genomic, Proteomic and Pathology Imaging Data from a Systems Biology Perspective

    Mar 14, 2026Junjie Zhou, Bao Xue, Meiling Wang +2Cancer Survival PredictionMultimodal Survival Analysis

    The College of Artificial Intelligence, Nanjing University of Aeronautics and Astronautics · School of Computer Science, Nanjing University of Posts and Telecommunications

  16. Performance evaluation of deep learning models for image analysis: considerations for visual control and statistical metrics

    Mar 13, 2026Christof A. Bertram, Jonas Ammeling, Alexander Bartel +2Computational Pathology

    University of Veterinary Medicine Vienna, Vienna, Austria · Technische Hochschule Ingolstadt, Ingolstadt, Germany · Freie Universität Berlin, Germany +2

  17. A protocol for evaluating robustness to H&E staining variation in computational pathology models

    Mar 13, 2026Lydia A. Schönpflug, Nikki van den Berg, Sonali Andani +5Computational PathologyMicroscopy Image Analysis

  18. UNIStainNet: Foundation-Model-Guided Virtual Staining of H&E to IHC

    Mar 13, 2026Jillur Rahman Saurav, Thuong Le Hoai Pham, Pritam Mukherjee +3Virtual StainingComputational Pathology

    Department of Computer Science, University of Texas at Arlington, Arlington, Texas, USA · Department of Radiology, St. Jude Children’s Research Hospital, Memphis, Tennessee, USA · Department of Pathology, St. Jude Children’s Research Hospital, Memphis, Tennessee, USA

  19. Selective Prediction Forgetting for Adaptation of Weakly Supervised Localization of Histology Images

    Mar 12, 2026Alexis Guichemerre, Banafsheh Karimian, Soufiane Belharbi +6Source-Free Domain AdaptationWeakly Supervised Learning

    ÉTS Montréal, Montreal, Canada · Sorbonne Université, Paris, France · University of York, York, United Kingdom +1

  20. Automated Detection of Malignant Lesions in the Ovary Using Deep Learning Models and XAI

    Mar 12, 2026Md. Hasin Sarwar Ifty, Nisharga Nirjan, Labib Islam +4Histopathology Image ClassificationComputational Pathology

    Dept. of Computer Science and Engr. BRAC University Dhaka, Bangladesh

  21. DeepHistoViT: An Interpretable Vision Transformer Framework for Histopathological Cancer Classification

    Mar 12, 2026Ravi Mosalpuri, Mohammed Abdelsamea, Ahmed Karam EldalyHistopathology Image ClassificationComputational Pathology

  22. Layout-Guided Controllable Pathology Image Generation with In-Context Diffusion Transformers

    Mar 11, 2026Yuntao Shou, Xiangyong Cao, Qian Zhao +1Image GenerationMedical Image Synthesis

    Xi’an Jiaotong University

  23. Leveraging whole slide difficulty in Multiple Instance Learning to improve prostate cancer grading

    Mar 10, 2026Marie Arrivat, Rémy Peyret, Elsa Angelini +1Prostate Cancer GradingHistopathology Image Classification

    Primaa, Paris, France · LTCI, Telecom Paris, Institut Polytechnique de Paris, France

  24. PathMem: Toward Cognition-Aligned Memory Transformation for Pathology MLLMs

    Mar 10, 2026Jinyue Li, Yuci Liang, Qiankun Li +7Memory-Augmented VLMsMedical VLMs

    University of Science and Technology of China · Shenzhen University · Nanyang Technological University +2

  25. PathoScribe: Transforming Pathology Data into a Living Library with a Unified LLM-Driven Framework for Semantic Retrieval and Clinical Integration

    Mar 9, 2026Abdul Rehman Akbar, Samuel Wales-McGrath, Alejadro Levya +5Biomedical IRComputational Pathology

    Department of Pathology, College of Medicine, The Ohio State University Wexner Medical Center, Columbus, OH, USA · Department of Pathology and Laboratory Medicine, Perelman School of Medicine, The University of Pennsylvania, Philadelphia, PA, USA · PathPresenter

  26. A Lightweight Multi-Cancer Tumor Localization Framework for Deployable Digital Pathology

    Mar 9, 2026Brian Isett, Rebekah Dadey, Aofei Li +5Medical Image LocalizationComputational Pathology

    UPMC Hillman Cancer Center, Pittsburgh, PA, USA · Malignant Hematology and Medical Oncology Division, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA · Department of Pathology, University of Pittsburgh, Pittsburgh, PA, USA +2

  27. Class Visualizations and Activation Atlases for Enhancing Interpretability in Deep Learning-Based Computational Pathology

    Mar 7, 2026Marco Gustav, Fabian Wolf, Christina Glasner +6Feature VisualizationExplainable Medical Image Analysis

    Else Kroener Fresenius Center for Digital Health, Faculty of Medicine, TUD Dresden University of Technology, Dresden, Germany · Institute of Pathology, University Medical Center Mainz, Mainz, Germany · Pathology, Faculty of Medicine, University of Augsburg, Augsburg, Germany +4

  28. NuNext: Reframing Nucleus Detection as Next-Point Detection

    Mar 7, 2026Zhongyi Shui, Honglin Li, Xiaozhong Ji +7Computational PathologyObject Detection

    Zhejiang University · Westlake University · Shanghai Artificial Intelligence Laboratory +3

  29. Extracting and analyzing 3D histomorphometric features related to perineural and lymphovascular invasion in prostate cancer

    Mar 6, 2026Sarah S. L. Chow, Rui Wang, Robert B. Serafin +10OncologyComputational Pathology

    Department of Pathology, Stanford University, Stanford, CA 94305 USA · University of Washington, Seattle, WA 98195 USA · University of Chicago, Chicago, IL 60637 USA +6

  30. SpaCRD: Multimodal Deep Fusion of Histology and Spatial Transcriptomics for Cancer Region Detection

    Mar 6, 2026Shuailin Xue, Jun Wan, Lihua Zhang +1Medical Image AnalysisComputational Pathology

    School of Information Science and Engineering, Yunnan University, Kunming 650500, China · Yunnan Key Laboratory of Intelligent Systems and Computing, Yunnan University, Kunming 650500, China · School of Information Engineering, Zhongnan University of Economics and Law, Wuhan 430073, China +1