Histopathology Image Classification

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9 papers in the last four weeks, up 29% on the four weeks before. 0.1% of all new papers.

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  1. The Good, the Bad, and the Brittle: Benchmarking Robustness and Generalisation of Histopathology Foundation Models

    Jul 5, 2026Dhyey Yajnik, Amina Asif, Fayyaz MinhasDistribution Shift RobustnessNeural Network Robustness

    Predictive Systems in Biomedicine Lab, Tissue Image Analytics Centre, Department of Computer Science, University of Warwick, United Kingdom

  2. Semantic Segmentation-Driven Image-Level Diagnosis of Liver Cancers in Hematoxylin and Eosin Histopathology Images

    Jul 3, 2026Ivica Kopriva, Dario Sitnik, Arijana Pacic +3Computational PathologyHistopathology Image Segmentation

    Division of Computing and Data Science, Ruđer Bošković Institute, Bijenička cesta 54, Zagreb Croatia · Sitnik Ventures UG, Lautensackstr. 25, 80687 Munich, Germany · Department of Pathology and Cytology, Dubrava University Hospital, Avenija Gojka Šuška 6, 10000 Zagreb, Croatia +2

  3. TaxoMIL: Taxonomy-Constrained Learning for Hierarchical Whole Slide Image Analysis

    Jun 30, 2026Chaeyeon Lee, Khang Nguyen Quoc, Jinsol Song +3Computational PathologyHierarchical Classification

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

  4. CellDETR: A Detection-Guided Framework for Scalable Cell Representation Learning from Histopathology Images

    Jun 28, 2026Shikang Zhang, Guojun Li, Yicong Mao +1Representation LearningDetection Transformer

    Zhejiang University of Technology · Tianjin University · Hangzhou Institute of Medicine, Chinese Academy of Sciences

  5. Predicting Metastatic Risk from Primary Cancer Tissue Architecture via Distance-Aware Spatial Modeling

    Jun 27, 2026Sandesh Pokhrel, Hamid Manoochehri, Beatrice S Knudsen +1Computational PathologyClinical Outcome Prediction

    Department of Electrical and Computer Engineering, University of Utah · Scientific Computing and Imaging Institute, University of Utah · Department of Pathology, University of Utah

  6. Transformation Behavior of Images in Latent Space

    Jun 23, 2026Christian Zöllner, Mozzam Motiwala, Aysel Ahadova +4Histopathology Image ClassificationInvariant Representation Learning

    Department of Applied Tumor Biology Institute of Pathology Heidelberg University Hospital · Department of Applied Tumor Biology, Institute of Pathology, Heidelberg University Hospital, Im Neuenheimer Feld 224, 69120, Heidelberg, Germany · National Center for Hereditary Tumor Syndromes, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany +5

  7. Performance and Interpretability of Convolutional, Transformer, and Hybrid Deep Learning Models in Colorectal Histology Classification

    Jun 21, 2026Reza BozorgpourHybrid CNN-Transformer ArchitecturesVision Transformer

    College of Engineering & Applied Science, Department of Biomedical Engineering, University of Wisconsin-Milwaukee, Milwaukee, WI, USA

  8. Configurable Algorithms for Histopathologic Cancer Detection on Quantum Hardware

    Jun 19, 2026Nandika Goyal, Glen Uehara, Andreas SpaniasEdge InferenceHybrid Quantum-Classical ML

    SenSIP Center, School of ECEE · Arizona State University

  9. RaLMPH: Reliability-aware Learning for Multi-Pathologist Harmonization in Whole-Slide Image Classification

    Jun 14, 2026Sungrae Hong, Jiwon Jeong, Soeun Cheon +5Computational PathologyHistopathology Image Classification

    Korea Advanced Institute of Science and Technology, Daejeon, South Korea · Seegene Medical Foundation, Seoul, South Korea

  10. How Seemingly Inconsequential Design Choices Dictate Performance of LLMs in Pathology

    Jun 10, 2026Kian R. Weihrauch, Thomas A. Buckley, William Lotter +1Multimodal Large Language ModelsHistopathology Image Classification

    Massachusetts Institute of Technology, Cambridge, MA · Harvard Medical School, Boston, MA · Dana-Farber Cancer Institute, Boston, MA

  11. Atlas H&E-TME: Scalable AI-Based Tissue Profiling at Expert Pathologist-Level Accuracy

    Jun 10, 2026Kai Standvoss, Miriam Hägele, Rosemarie Krupar +25Computational PathologyPathology Foundation Models

    Aignostics, Germany · Institute of Pathology, Charité – Universitätsmedizin Berlin, Germany · Berlin Institute of Health, Charité – Universitätsmedizin Berlin, Germany +9

  12. LRMIL: Efficient Low-Resolution Multiple Instance Learning via High-Resolution Knowledge Distillation for Whole Slide Image Classification

    Jun 5, 2026Yonghan Shin, Won-Ki JeongHistopathology Image ClassificationKnowledge Distillation

    Department of Computer Science and Engineering, Korea University, Seoul, Korea

  13. Symb-xMIL: Symbolic Explanations for Multiple Instance Learning in Digital Pathology

    Jun 4, 2026Yanqing Luo, Julius Hense, Niklas Prenißl +4Computational PathologyExplainable Medical Image Analysis

    Berlin Institute for the Foundations of Learning and Data, Berlin, Germany · Machine Learning Group, Technische Universität Berlin, Berlin, Germany · Institute of Pathology, Charité Universitätsmedizin, Berlin, Germany +10

  14. A Pathology Foundation Model for Gastric Cancer with Real-World Validation

    Jun 3, 2026Ling Liang, Jiabo Ma, Zhengyu Zhang +25Computational PathologyMedical Diagnosis

    Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong SAR, China · Department of Pathology, Nanfang Hospital, Southern Medical University, Guangzhou, China · Department of Pathology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China +18

  15. Parameter-Efficient Subspace Decoupling ViT for Mitigating Multi-Task Negative Transfer in Histological Scoring

    May 28, 2026Youhan Huang, Jiajun Li, Yilin Fang +2Vision TransformerMulti-Task Learning

    1Beijing University of Posts and Telecommunications, Beijing, China · 2Beijing University of Chemical Technology, Beijing, China · 3Capital Medical University, Beijing, China

  16. ConceptM3^3oE: Concept-Guided Multimodal Mixture of Experts for Interpretable Computational Pathology

    May 23, 2026Xuan Wang, Zhongling Xu, Gopi Kannedhara +13Computational PathologyConcept Bottleneck Models

    University of Texas at Austin, Austin, TX, USA · University of North Carolina at Chapel Hill, NC, USA · Dell Children’s Medical Center, Austin, TX, USA +2

  17. Thinking in Scales: Accelerating Gigapixel Pathology Image Analysis via Adaptive Continuous Reasoning

    May 19, 2026Jiusong Ge, Yingkang Zhan, Wenjie Zhao +13Computational PathologyAdaptive Inference

    School of Computer Science and Technology, Xi’an Jiao-tong University, Xi’an, China · Department of Transmedia Art, Xi’an Academy of Fine Arts, Xi’an, China · Language Technology Lab, University of Cambridge, Cambridge, U.K. +3

  18. Beyond Morphology: Quantifying the Diagnostic Power of Color Features in Cancer Classification

    May 18, 2026Farnaz Kheiri, Shahryar Rahnamayan, Masoud MakrehchiComputational PathologyOncology

    Dept. of Electrical, Computer and Software Engineering Ontario Tech University Oshawa, Ontario, Canada · Dept. of Engineering Brock University St. Catharines, Ontario, Canada

  19. Geometry-Aware Uncertainty Coresets for Robust Visual In-Context Learning in Histopathology

    May 18, 2026Franciskus Xaverius Erick, Johanna Paula Müller, Bernhard KainzVLM RobustnessIn-Context Learning

    FAU Erlangen-Nürnberg, Erlangen, DE · Department of Computing, Imperial College London, London, UK

  20. GCE-MIL: Faithful and Recoverable Evidence for Multiple Instance Learning in Whole-Slide Imaging

    May 17, 2026Xiangyu Li, Ran SuExplainable Medical Image AnalysisHistopathology Image Classification

    College of Intelligence and Computing Tianjin University

  21. Spatial Blindness in Whole-Slide Multiple Instance Learning

    May 17, 2026Xiangyu Li, Ran SuHistopathology Image ClassificationMultiple Instance Learning

    College of Intelligence and Computing Tianjin University Tianjin, China

  22. Diffusion Attention Expert Model for Predicting and Semi-automatic Localizing STAS in Lung Cancer Histopathological Images

    May 15, 2026Liangrui Pan, Jiadi Luo, Yuxuan Xiao +13Computational PathologyOncology

    College of Computer Science and Electronic Engineering, Hunan University, Changsha, 410082, China · Department of Pathology, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China · Hunan Clinical Medical Research Center for Cancer Pathogenic Genes Testing and Diagnosis, Changsha, Hunan, 410011, China +8

  23. Are Compact Rationales Free? Measuring Tile Selection Headroom in Frozen WSI-MIL

    May 12, 2026Hyun Do Jung, Jungwon Choi, Soojung Choi +2Explainable Medical Image AnalysisHistopathology Image Classification

    Department of Artificial Intelligence, Yonsei University, Seoul, South Korea · Kim Jaechul Graduate School of AI, KAIST, Daejeon, South Korea · Department of Integrative Medicine, College of Medicine, Yonsei University, Seoul, South Korea +2

  24. Physics-Grounded Adversarial Stain Augmentation with Calibrated Coverage Guarantees

    May 12, 2026Mingi HongData AugmentationHealthcare

    434, Samseong-ro, Gangnam-gu, Seoul, Republic of Korea

  25. CellDX AI Autopilot: Agent-Guided Training and Deployment of Pathology Classifiers

    May 11, 2026Alexey Pchelnikov, Aleksei PchelnikovComputational PathologyHealthcare

    1HistAI

  26. Geometry-Aware State Space Model: A New Paradigm for Whole-Slide Image Representation

    May 6, 2026Enhui Chai, Sicheng Chen, Tianyi Zhang +4Histopathology Image ClassificationMultiple Instance Learning

    PuzzleLogic Pte Ltd, Singapore 229594, Singapore · Nhu Department of Electrical Engineering and Computer Science, University of California, Irvine · Department of Electrical & Computer Engineering, National University of Singapore

  27. A Breast Vision Pathology Foundation Model for Real-world Clinical Utility

    May 6, 2026Yingxue Xu, Zhengyu Zhang, Xiuming Zhang +32HealthcareClinical Decision Support

    Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong SAR, China · Department of Pathology, Nanfang Hospital, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China · Department of Pathology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China +18

  28. Biological Spatial Priors Regularize Foundation Model Representations for Cross-Site MSI Generalization in Colorectal Cancer

    May 4, 2026Dasari Naga RajuSpatial GeneralizationPathology Foundation Models

  29. Validation of an AI-based end-to-end model for prostate pathology using long-term archived routine samples

    May 4, 2026Xiaoyi Ji, Renata Zelic, Oskar Aspegren +11Computational PathologyDomain Generalization

    Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden · Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden · Department of Pelvic Cancer, Cancer Theme, Karolinska University Hospital, Stockholm, Sweden +8

  30. Magnification-Invariant Image Classification via Domain Generalization and Stable Sparse Embedding Signatures

    Apr 28, 2026Ifeanyi Ezuma, Olusiji MedaiyeseHealthcareCross-Domain Generalization

    Ifeanyi Ezuma, Olusiji Medaiyese