Whole-Slide Image Analysis

Ask about this topic

Overview

Whole-slide image analysis studies how to extract clinically useful information from gigapixel tissue scans, where relevant cells and tissue patterns may be sparse and spread across multiple scales. Common approaches divide slides into patches and use multiple-instance learning with slide-level labels, while newer methods add spatial graphs, multiscale models, pathology foundation models, or vision-language systems. These methods support tasks such as cancer classification, grading, lesion and cell localization, survival prediction, molecular profiling, and report generation. A central challenge is balancing accuracy and clinically grounded evidence with computational cost and reliable generalization across hospitals, scanners, and patient cohorts.

Latest papers

CardsList

214 papers35 papers in the last four weeks, up 75% on the four weeks before. 0.2% of all new papers.

  1. 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

  2. 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

  3. MoEMambaMIL: Structure-Aware Selective State Space Modeling for Whole-Slide Image Analysis

    Mar 6, 2026Dongqing Xie, Yonghuang WuWhole-Slide Image AnalysisMultiple Instance Learning

    Tongji University · Fudan University

  4. RANGER: Sparsely-Gated Mixture-of-Experts with Adaptive Retrieval Re-ranking for Pathology Report Generation

    Mar 4, 2026Yixin Chen, Ziyu Su, Hikmat Khan +1Medical Report GenerationMultimodal RAG

    Department of Biomedical Engineering, The Ohio State University, Columbus, OH, USA · Department of Pathology, The Ohio State University, Columbus, OH, USA

  5. WSI-INR: Implicit Neural Representations for Lesion Segmentation in Whole-Slide Images

    Mar 4, 2026Yunheng Wu, Wenqi Huang, Liangyi Wang +4Image SegmentationHistopathology Image Segmentation

    Graduate School of Informatics, Nagoya University, Nagoya, Japan · Chair for AI in Healthcare and Medicine, Technical University of Munich (TUM) and TUM University Hospital, Munich, Germany · School of Computation and Information Technology, Technical University of Munich, Munich, Germany +4

  6. BRIGHT: A Collaborative Generalist-Specialist Foundation Model for Breast Pathology

    Mar 3, 2026Xiaojing Guo, Jiatai Lin, Yumian Jia +39Breast CancerHealthcare

  7. MMNavAgent: Multi-Magnification WSI Navigation Agent for Clinically Consistent Whole-Slide Analysis

    Mar 2, 2026Zhengyang Xu, Han Li, Jingsong Liu +10Whole-Slide Image AnalysisComputational Pathology

    Institute of Pathology, Technical University of Munich, Germany · Munich Center for Machine Learning (MCML), Munich, Germany · Computer Aided Medical Procedures (CAMP), TU Munich, Munich, Germany +7

  8. QCAgent: An agentic framework for quality-controllable pathology report generation from whole slide image

    Mar 2, 2026Rundong Wang, Wei Ba, Ying Zhou +8Medical Report GenerationComputational Pathology

    School of Biomedical Engineering, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230026, P.R. China · Center for Medical Imaging, Robotics, Analytic Computing & Learning (MIRACLE), Suzhou Institute for Advance Research, USTC, 215123, P.R. China · Chinese PLA General Hospital Ninth Medical Center, China +1

  9. ASMIL: Attention-Stabilized Multiple Instance Learning for Whole Slide Imaging

    Mar 1, 2026Linfeng Ye, Shayan Mohajer Hamidi, Zhixiang Chi +5Multiple Instance LearningWhole-Slide Image Analysis

    University of Toronto · Stanford University · Hokkaido University

  10. TC-SSA: Token Compression via Semantic Slot Aggregation for Gigapixel Pathology Reasoning

    Mar 1, 2026Zhuo Chen, Shawn Young, Lijian XuVisual Token CompressionWhole-Slide Image Analysis

    Shenzhen University of Advanced Technology Shenzhen, Guangdong, China · University of Nottingham NingBo China NingBo, ZheJiang, China FoSE, Department of Mathematics with Applied Mathematics

  11. Act Like a Pathologist: Tissue-Aware Whole Slide Image Reasoning

    Feb 28, 2026Wentao Huang, Weimin Lyu, Peiliang Lou +8Pathology VQAMedical VQA

    Stony Brook University, NY, USA · Mayo Clinic, MN, USA · Harvard Medical School, MA, USA +1

  12. Hierarchical Classification for Improved Histopathology Image Analysis

    Feb 28, 2026Keunho Byeon, Jinsol Song, Seong Min Hong +2Histopathology Image ClassificationHierarchical Classification

    School of Electrical Engineering, Korea University, Seoul, Korea · Department of Hospital Pathology, The Catholic University of Korea College of Medicine, Seoul, Korea

  13. Margin-Consistent Deep Subtyping of Invasive Lung Adenocarcinoma via Perturbation Fidelity in Whole-Slide Image Analysis

    Feb 27, 2026Meghdad Sabouri Rad, Junze, Huang +6Histopathology Image ClassificationCancer Subtype Classification

    Vincent · Department of Pathology, SUNY Upstate Medical University, Syracuse, NY, 13210, USA. · Columbia University, New York, NY, 10027, USA.

  14. Footprint-Guided Exemplar-Free Continual Histopathology Report Generation

    Feb 27, 2026Pratibha Kumari, Daniel Reisenbüchler, Afshin Bozorgpour +3Medical Report GenerationContinual Learning for VLMs

    Faculty of Informatics and Data Science, University of Regensburg, Germany · Indian Institute of Information Technology Bhopal, India

  15. Hierarchical Multi-Scale Graph Learning with Knowledge-Guided Attention for Whole-Slide Image Survival Analysis

    Feb 26, 2026Bin Xu, Yufei Zhou, Boling Song +6Hierarchical GNNsCancer Survival Prediction

    Nanjing University of Information Science and Technology, Nanjing, China · Case Western Reserve University, Cleveland, OH, USA · Georgia Institute of Technology and Emory University, Atlanta, GA, USA +4

  16. CARE: A Molecular-Guided Foundation Model with Adaptive Region Modeling for Whole Slide Image Analysis

    Feb 25, 2026Di Zhang, Zhangpeng Gong, Xiaobo Pang +14Pathology Foundation ModelsWhole-Slide Image Analysis

    Xi’an Jiaotong University · University of Cambridge · KingMed +2

  17. MUSE: Harnessing Precise and Diverse Semantics for Few-Shot Whole Slide Image Classification

    Feb 24, 2026Jiahao Xu, Sheng Huang, Xin Zhang +3Computational PathologyMedical VLMs

    School of Big Data & Software Engineering, Chongqing University · School of Computer Science & Technology, Chongqing University

  18. Exploiting Label-Independent Regularization from Spatial Dependencies for Whole Slide Image Analysis

    Feb 23, 2026Weiyi Wu, Xinwen Xu, Chongyang Gao +3Whole-Slide Image AnalysisMultiple Instance Learning

    1Dartmouth College · 2Massachusetts General Hospital · 3Northwestern University

  19. Hepato-LLaVA: An Expert MLLM with Sparse Topo-Pack Attention for Hepatocellular Pathology Analysis on Whole Slide Images

    Feb 23, 2026Yuxuan Yang, Zhonghao Yan, Yi Zhang +6Pathology VQAMedical VLMs

    School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing 100876, China · Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China

  20. AINet: Anchor Instances Learning for Regional Heterogeneity in Whole Slide Image

    Feb 21, 2026Tingting Zheng, Hongxun Yao, Kui Jiang +2Whole-Slide Image AnalysisMultiple Instance Learning

    Harbin Institute of Technology · Tsinghua University · Zhengzhou University

  21. Initialization matters in few-shot adaptation of vision-language models for histopathological image classification

    Feb 21, 2026Pablo Meseguer, Rocío del Amor, Valery NaranjoHistopathology Image ClassificationVLM Adaptation

    Instituto Universitario de Investigación en Tecnología Centrada en el Ser Humano (HUMAN-Tech), Universitat Politècnica de Valencia, Valencia, Spain · Valencian Graduate School and Research Network for Artificial Intelligence (valgrAI), Valencia, Spain

  22. Automated Histopathology Report Generation via Pyramidal Feature Extraction and the UNI Foundation Model

    Feb 18, 2026Ahmet Halici, Ece Tugba Cebeci, Musa Balci +2Medical Report GenerationMedical VLMs

    ViseurAI

  23. Context-aware Skin Cancer Epithelial Cell Classification with Scalable Graph Transformers

    Feb 17, 2026Lucas Sancéré, Noémie Moreau, Katarzyna BozekComputational PathologyOncology

    Faculty of Mathematics and Natural Sciences, University of Cologne, Cologne, North Rhine-Westphalia, Germany · Institute for Biomedical Informatics, Faculty of Medicine and University Hospital Cologne, University of Cologne, North Rhine-Westphalia, Germany · Center for Molecular Medicine Cologne (CMMC), Faculty of Medicine and University Hospital Cologne, University of Cologne, North Rhine-Westphalia, Germany +1

  24. Prototype Instance-semantic Disentanglement with Low-rank Regularized Subspace Clustering for WSIs Explainable Recognition

    Feb 16, 2026Chentao Li, Pan HuangWhole-Slide Image AnalysisHistopathology Image Classification

  25. AtlasPatch: Scalable Foundation Model-based Tissue Detection and Patch Extraction for Computational Pathology

    Feb 3, 2026Ahmed Alagha, Christopher Leclerc, Yousef Kotp +12Computational PathologyWhole-Slide Image Analysis

    Department of Computer Science and Software Engineering (CSSE), Concordia University, Montreal, QC, Canada, H3G 1M8 · Concordia Institute for Information Systems Engineering (CIISE), Concordia University, Montreal, QC, Canada, H3G 1M8 · Mila–Quebec AI Institute, Montreal, QC, Canada, H2S 3H1 +5

  26. Toxicity Assessment in Preclinical Histopathology via Class-Aware Mahalanobis Distance for Known and Novel Anomalies

    Feb 2, 2026Olga Graf, Dhrupal Patel, Peter Groß +3Histopathology Image SegmentationMahalanobis Distance

    Tübingen AI Center, University of Tübingen, Tübingen, Germany · Toxicologic Pathologist, Gujarat, India · Boehringer Ingelheim Pharma GmbH and Co., Biberach an der Riß, Germany +1

  27. LSP-DETR: Efficient and Scalable Nuclei Segmentation in Whole-Slide Images

    Jan 6, 2026Matěj Pekár, Vít Musil, Rudolf Nenutil +2Computational PathologyImage Segmentation

    Masaryk University, Faculty of Informatics, Botanická 68a, Brno, 602 00, Czech Republic · Masaryk Memorial Cancer Institute, Žlutý kopec 7, Brno, 656 53, Czech Republic · BBMRI-ERIC, Neue Stiftingtalstraße 2/B/6, Graz, 8010, Austria

  28. PathFLIP: Fine-grained Language-Image Pretraining for Versatile Computational Pathology

    Dec 19, 2025Fengchun Liu, Songhan Jiang, Linghan Cai +2Computational PathologyVision-Language Grounding

    Harbin Institute of Technology, Shenzhen, School of Computer Science and Technology · National University of Singapore, Department of Electronic and Computer Engineering

  29. Towards Cellular-Scale Interpretability in Pathology Foundation Models for Biomarker Assessment

    Nov 7, 2025Jingsong Liu, Han Li, Zhengyang Xu +19Computational PathologyHealthcare

    Institute of Pathology, Technical University of Munich, Munich, Germany · Munich Center for Machine Learning (MCML), Munich, Germany · Munich Data Science Institute (MDSI), Munich, Germany +6

  30. 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