Histopathology Image Classification

Overview

Histopathology image classification studies how to recognize disease and clinically relevant tissue patterns in microscope images, from small patches and cells to whole-slide images (WSIs). Common approaches include convolutional and vision-transformer models, pathology foundation models, and multiple-instance learning (MIL), which uses slide-level labels to combine evidence from many patches; newer methods also model spatial structure, multiple magnifications, and clinical or molecular data. These systems are evaluated on tasks such as tumor detection, cancer subtyping, grading, and biomarker prediction, using public benchmarks and increasingly external, multicenter, or prospective clinical settings. A central challenge is maintaining reliable performance across sites, stains, scanners, and patient groups while ensuring models use meaningful diagnostic evidence and provide calibrated, interpretable predictions at feasible computational cost.

Latest papers

CardsList

146 papers18 papers in the last four weeks, up 20% on the four weeks before. 0.1% of all new papers.

  1. Adaptive Prototype-based Interpretable Grading of Prostate Cancer

    Mar 5, 2026Riddhasree Bhattacharyya, Pallabi Dutta, Sushmita MitraProstate Cancer GradingHistopathology Image Classification

  2. Revisiting the Role of Foundation Models in Cell-Level Histopathological Image Analysis under Small-Patch Constraints -- Effects of Training Data Scale and Blur Perturbations on CNNs and Vision Transformers

    Mar 4, 2026Hiroki Kagiyama, Toru Nagasaka, Yukari Adachi +5Histopathology Image ClassificationComputational Pathology

  3. Logit-Level Uncertainty Quantification in Vision-Language Models for Histopathology Image Analysis

    Mar 3, 2026Betul Yurdem, Ferhat Ozgur Catak, Murat Kuzlu +1Uncertainty QuantificationMedical VLMs

  4. GloPath: An Entity-Centric Foundation Model for Glomerular Lesion Assessment and Clinicopathological Insights

    Mar 3, 2026Qiming He, Jing Li, Tian Guan +26Pathology Foundation ModelsHistopathology Image Classification

  5. Intelligent Pathological Diagnosis of Gestational Trophoblastic Diseases via Visual-Language Deep Learning Model

    Mar 3, 2026Yuhang Liu, Yueyang Cang, Wenge Que +12Computational PathologyHistopathology Image Classification

  6. 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

  7. 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

  8. Hierarchical Classification for Improved Histopathology Image Analysis

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

  9. 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

  10. Pretty Good Measurement for Radiomics: A Quantum-Inspired Multi-Class Classifier for Lung Cancer Subtyping and Prostate Cancer Risk Stratification

    Feb 27, 2026Giuseppe Sergioli, Carlo Cuccu, Giovanni Pasini +4Multiclass ClassificationQuantum-Inspired ML

  11. Enabling clinical use of foundation models for computational pathology

    Feb 25, 2026Audun L Henriksen, Ole-Johan Skrede, Lisa van der Schee +31Computational PathologyPathology Foundation Models

  12. Momentum Memory for Knowledge Distillation in Computational Pathology

    Feb 24, 2026Yongxin Guo, Hao Lu, Onur C. Koyun +3Knowledge DistillationCross-Modal Knowledge Distillation

  13. 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

  14. 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

  15. 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

  16. 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

  17. LGD-Net: Latent-Guided Dual-Stream Network for HER2 Scoring with Task-Specific Domain Knowledge

    Feb 19, 2026Peide Zhu, Linbin Lu, Zhiqin Chen +1Computational PathologyHistopathology Image Classification

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

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

  19. MB-DSMIL-CL-PL: Scalable Weakly Supervised Ovarian Cancer Subtype Classification and Localisation Using Contrastive and Prototype Learning with Frozen Patch Features

    Feb 16, 2026Marcus Jenkins, Jasenka Mazibrada, Bogdan Leahu +1Histopathology Image ClassificationCancer Subtype Classification

  20. MacNet: An End-to-End Manifold-Constrained Adaptive Clustering Network for Interpretable Whole Slide Image Classification

    Feb 16, 2026Mingrui Ma, Chentao Li, Pan Huang +1Histopathology Image ClassificationExplainable Medical Image Analysis

  21. Semi-Supervised Domain Adaptation with Latent Diffusion for Pathology Image Classification

    Jan 23, 2026Tengyue Zhang, Ruiwen Ding, Luoting Zhuang +3Computational PathologySynthetic Data Augmentation

  22. CytoCLIP: Learning Cytoarchitectural Characteristics in Developing Human Brain Using Contrastive Language Image Pre-Training

    Jan 18, 2026Pralaypati Ta, Sriram Venkatesaperumal, Keerthi Ram +1Medical VLMsHistopathology Image Classification

  23. From Classification to Cross-Modal Understanding: Leveraging Vision-Language Models for Fine-Grained Renal Pathology

    Nov 15, 2025Zhenhao Guo, Rachit Saluja, Tianyu Shi +13Medical VLMsVLM Adaptation

  24. 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

  25. Data Alchemy: Mitigating Cross-Site Model Variability Through Test Time Data Calibration

    Jul 18, 2024Abhijeet Parida, Antonia Alomar, Zhifan Jiang +7Image EnhancementTest-Time Adaptation