Whole-Slide Image Analysis

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. Weakly Supervised Multicenter Nancy Index Scoring in Ulcerative Colitis Using Foundation Models

    Apr 26, 2026Adam Kukučka, Ondřej Fabián, Vít Musil +1Computational PathologyPathology Foundation Models

  2. Attention-based multiple instance learning for predominant growth pattern prediction in lung adenocarcinoma wsi using foundation models

    Apr 23, 2026Laura Valeria Perez-Herrera, M. J. Garcia-Gonzalez, Karen Lopez-LinaresComputational PathologyPathology Foundation Models

  3. A Digital Pathology Resource for Liver Cancer Quantification with Datasets, Benchmarks, and Tools

    Apr 22, 2026Ying Xiao, Shimiao Tang, Xitong Ling +11Computational PathologyImage Segmentation

  4. Unified Multi-Foundation-Model Slide Representation for Pan-Cancer Recognition and Text-Guided Tumor Localization

    Apr 21, 2026Tianyang Wang, Ziyu Su, Abdul Rehman Akbar +6Pathology Foundation ModelsOncology

  5. PBSBench: A Multi-Level Vision-Language Framework and Benchmark for Hematopathology Whole Slide Image Interpretation

    Apr 19, 2026Yuanlong Wang, Weichi Chen, Adrian Rajab +4Computational PathologyMedical VQA

  6. Region-Affinity Attention for Whole-Slide Breast Cancer Classification in Deep Ultraviolet Imaging

    Apr 19, 2026Nagur Shareef Shaik, Teja Krishna Cherukuri, Dong Hye YeMedical Image ClassificationHistopathology Image Classification

  7. MambaBack: Bridging Local Features and Global Contexts in Whole Slide Image Analysis

    Apr 17, 2026Sicheng Chen, Chad Wong, Tianyi Zhang +3Efficient Neural Network InferenceMultiple Instance Learning

  8. SSMamba: A Self-Supervised Hybrid State Space Model for Pathological Image Classification

    Apr 17, 2026Enhui Chai, Sicheng Chen, Tianyi Zhang +2Self-Supervised LearningPathology Foundation Models

  9. Artificial intelligence application in lymphoma diagnosis with Vision Transformer using weakly supervised training

    Apr 15, 2026Nghia, Nguyen, Amer Wahed +9Histopathology Image ClassificationOncology

  10. PC-MIL: Decoupling Feature Resolution from Supervision Scale in Whole-Slide Learning

    Apr 13, 2026Syed Fahim Ahmed, Gnanesh Rasineni, Florian Koehler +7Whole-Slide Image AnalysisHistopathology Image Classification

  11. OpenTME: An Open Dataset of AI-powered H&E Tumor Microenvironment Profiles from TCGA

    Apr 13, 2026Maaike Galama, Nina Kozar-Gillan, Christina Embacher +18Computational PathologyWhole-Slide Image Analysis

  12. Cluster-First Labelling: An Automated Pipeline for Segmentation and Morphological Clustering in Histology Whole Slide Images

    Apr 10, 2026Muhammad Haseeb Ahmad, Sharmila Rajendran, Damion Young +1Whole-Slide Image AnalysisMicroscopy Image Analysis

  13. Needle in a Haystack: One-Class Representation Learning for Detecting Rare Malignant Cells in Computational Cytology

    Apr 9, 2026Swarnadip Chatterjee, Vladimir Basic, Arrigo Capitanio +2Whole-Slide Image AnalysisComputational Pathology

  14. Region-Graph Optimal Transport Routing for Mixture-of-Experts Whole-Slide Image Classification

    Apr 8, 2026Xin Tian, Jiuliu Lu, Ephraim Tsalik +3Histopathology Image ClassificationWhole-Slide Image Analysis

  15. A deep learning pipeline for PAM50 subtype classification using histopathology images and multi-objective patch selection

    Apr 2, 2026Arezoo Borji, Gernot Kronreif, Bernhard Angermayr +6Monte Carlo DropoutHistopathology Image Classification

  16. MOOZY: A Patient-First Foundation Model for Computational Pathology

    Mar 27, 2026Yousef Kotp, Vincent Quoc-Huy Trinh, Christopher Pal +1Computational PathologySelf-Supervised Pre-Training

  17. MLLM-HWSI: A Multimodal Large Language Model for Hierarchical Whole Slide Image Understanding

    Mar 24, 2026Basit Alawode, Arif Mahmood, Muaz Khalifa Al-Radi +6Whole-Slide Image AnalysisMedical VLMs

  18. 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

  19. Parameter-efficient Prompt Tuning and Hierarchical Textual Guidance for Few-shot Whole Slide Image Classification

    Mar 23, 2026Jayanie Bogahawatte, Sachith Seneviratne, Saman HalgamugeWhole-Slide Image AnalysisParameter-Efficient Fine-Tuning

  20. Jigsaw Regularization in Whole-Slide Image Classification

    Mar 20, 2026So Won Jeong, Veronika RočkováHistopathology Image ClassificationWhole-Slide Image Analysis

  21. ReconMIL: Synergizing Latent Space Reconstruction with Bi-Stream Mamba for Whole Slide Image Analysis

    Mar 20, 2026Lubin Gan, Jing Zhang, Heng Zhang +4Histopathology Image ClassificationMedical Image Localization

  22. CAFlow: Adaptive-Depth Single-Step Flow Matching for Efficient Histopathology Super-Resolution

    Mar 19, 2026Elad Yoshai, Ariel D. Yoshai, Natan T. ShakedMedical Image Super-ResolutionImage Super-Resolution

  23. 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

  24. A Computationally Efficient Multi-Section Whole Slide Image Analysis for Capturing Prostate Cancer Multifocality in Biochemical Recurrence Prediction

    Mar 17, 2026Yesung Cho, Dongmyung Shin, Sujeong Hong +7Clinical Outcome PredictionWhole-Slide Image Analysis

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

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

  26. BiTro: Bidirectional Transfer Learning Enhances Bulk and Spatial Transcriptomics Prediction in Cancer Pathological Images

    Mar 16, 2026Jingkun Yu, Guangkai Shang, Changtao Li +4Gene Expression Prediction from Histopathology ImagesSpatial Gene Expression Prediction

  27. Sparse Task Vector Mixup with Hypernetworks for Efficient Knowledge Transfer in Whole-Slide Image Prognosis

    Mar 11, 2026Pei Liu, Xiangxiang Zeng, Tengfei Ma +3Whole-Slide Image AnalysisCancer Survival Prediction

  28. 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