Whole-Slide Image Analysis

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17 papers in the last four weeks, up 89% on the four weeks before. 0.2% of all new papers.

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Agentic Visual Reasoning in Whole-Slide Pathology Images via Active Perception
Aug 9, 2026Jingyun Chen, Fengchun Liu, Linghan Cai +5Active Perception Medical VQA
College of Computer Science and Technology, Harbin Institute of Technology, Shenzhen · School of Computing and Data Science, The University of Hong Kong
Gated Spatial Redundancy Projection for Pathology Transformer Attentions
Aug 8, 2026Zhiyuan Yang, Jiahao Cheng, Vincent Quoc-Huy Trinh +1Cancer Survival Prediction Self-Attention
Department of Computer Science and Software Engineering (CSSE), Concordia University, Montreal, Canada · Axe Cancer, Centre de recherche du CHUM, Université de Montréal, Montréal, Canada · Mila - Quebec AI Institute, Montreal, Canada
Beyond Relevance: Bayesian Evidence Acquisition for Agentic Whole-Slide Image Reasoning
Aug 6, 2026Bryan Wong, Xun Xu, Huazhu Fu +2Visual Question Answering Computational Pathology
1Korea Advanced Institute of Science and Technology (KAIST) · Institute of Advanced Intelligence and Computing (IAIC), A*STAR · Centre for Frontier AI Research (CFAR), A*STAR
Bag-of-Visual-Words for Spatial Mapping of Lung Adenocarcinoma Growth Patterns
Aug 5, 2026Darya Ardan, Valentin Oreiller, Henning MüllerComputational Pathology Oncology
Department of Computer Science, University of Geneva, Geneva, Switzerland · Informatics Institute, University of Applied Sciences Western Switzerland (HES-SO Valais), Sierre, Switzerland · Radiology Service, Medical Faculty, University of Geneva, Geneva, Switzerland
S $^3$ -Diff: Structural Semantic Synergy Diffusion Model for High Fidelity Super Resolution of Pathological Images
Aug 4, 2026Jiaming Liang, QiHui Han, Guangye Ou +6Computational Pathology Diffusion Models for Image Restoration
South China University of Technology Software Engineering Guangzhou, China · South China University of Technology School of Future Technology Guangzhou, China
From Multi-Resolution Cells to Gigapixel Whole Slide Images Foundation Model for Computational Pathology
Aug 4, 2026Basit Alawode, Moshira Ali Abdalla, Dwarikanath Mahapatra +2Representation Learning Vision Transformer
Khalifa University of Science and Technology, UAE · University of Western Australia, Australia
Spatial proteomics guided by H&E-based AI reveals recurrence-risk niches in triple-negative breast cancer
Aug 4, 2026Yesung Cho, Ji Hwan Park, Chanil Kim +27Breast Cancer Computational Pathology
OmixAI Co. Ltd., Seoul, Republic of Korea · Meteor Biotech Co. Ltd., Seoul, Republic of Korea · Oncocross Co. Ltd., Seoul, Republic of Korea +4
Training-Free Out-of-Distribution Detection for Pathology Whole-Slide Images
Aug 2, 2026Sabri Mustafa Kahya, Richard R. Chen, Muhammet Sami Yavuz +4Computational Pathology OOD Detection
From Patches to Evidence Balls: Class-Conditioned Evidence Retrieval for Few-Shot Whole Slide Image Classification
Aug 2, 2026Di Zhang, Li Zhang, Jiashuai Liu +9Few-Shot Learning Histopathology Image Classification
XJTU · JUFE · University of Cambridge +1
Zero-Cost Virtual RNA: Approximating Immunotherapy Signatures via Cross-Modal WSI Retrieval
Aug 1, 2026Sigrid Vila-Bagaria, Mar Teixidó, Miquel Piñol +3Computational Pathology Cross-Modal Retrieval
Image Processing Group, Universitat Politècnica de Catalunya, Spain · Research group of Cancer Biomarkers & Oncological Pathology, IRB Lleida, Spain
Beyond Classification: Pathology Foundation Models as Detection Encoders for Mitotic Figures
Jul 30, 2026Sweta Banerjee, Alireza Teimoury, Nils Porsche +11Computational Pathology Pathology Foundation Models
Flensburg University of Applied Sciences, Flensburg, Germany · Julius-Maximilians-Universität Würzburg, Würzburg, Germany · Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany +4
PathSelect: Sequential Token Selection for Whole Slide Pathology
Jul 26, 2026Jingzhi Chen, Landi He, Zehong Chen +2Efficient VLM Inference Medical VLMs
Shenzhen University of Advanced Technology
Weakly Supervised Instance-Level Gleason Pattern Estimation Using Primary and Secondary Labels
Jul 26, 2026Nao Sugeta, Kaito Shiku, Shinnosuke Matsuo +1Weakly Supervised Learning Oncology
Kyushu University, Japan
Pathologist Attention-Aligned Report Generation for Prostate Histopathology
Jul 21, 2026Ruoyu Xue, Suryakant Singh, Souradeep Chakraborty +12Computational Pathology Medical Report Generation
Department of Computer Science, Stony Brook University, USA · Department of Biomedical Informatics, Stony Brook University, USA · Université Paris-Saclay, CentraleSupélec, Gustave Roussy, INSERM, IHU PRISM, Cancer Data Science Unit, France +4
PathAgentBench: Benchmarking Evidence-Seeking Vision-Language Models on Whole-Slide Pathology Image
Jul 21, 2026Dankai Liao, Tianyi Zhang, Yufeng Wu +6VLM Evaluation Medical VLMs
Department of Biomedical Engineering, National University of Singapore, Singapore 117417, Singapore
PathReportEval: A Systematic Benchmark for Pathology Report Generation
Jul 20, 2026Suryakant Singh, Sejuti Majumder, Beatrice Knudsen +2Medical Report Generation Medical Image Benchmarks
Department of Biomedical Informatics Stony Brook University Stony Brook, NY, USA · Department of Pathology University of Utah Salt Lake City, UT, USA
GigaPath-Flash and GigaTIME-Flash: Efficient Pathology Foundation Models for Whole-Slide and Tumor Microenvironment Analysis
Jul 20, 2026Naoto Usuyama, Jeya Maria Jose Valanarasu, Sicong Yao +27Pathology Foundation Models Oncology
Microsoft Research · Paul G. Allen School of Computer Science and Engineering, University of Washington · Providence Genomics +2
Pretraining Multiple Instance Learning Networks with Multi-Teacher Distillation from Pathology Slide Foundation Models
Jul 16, 2026Mingxi Fu, Jiawen Li, Renao Yan +4Multi-Teacher Knowledge Distillation Multiple Instance Learning
Tsinghua Shenzhen International Graduate School, Tsinghua University · University of Washington · City University of Hong Kong (Dongguan) +2
CGRL: Concept-Guided Pruning and Representation Learning for Whole-Slide Image Classification
Jul 14, 2026Thuc Huynh, Tuan Le, Doanh C. BuiComputational Pathology Contrastive Learning
University of Information Technology, Ho Chi Minh City, Vietnam · Vietnam National University Ho Chi Minh City, Ho Chi Minh City, Vietnam
Demonstration of the common dual-channel feature decoupling characteristic of front-door mediation causal inference methods in whole-slice image classification
Jul 14, 2026Zhirui Zhang, Tianhang Nan, Yong Ding +3Representation Disentanglement Histopathology Image Classification
College of Medicine and Biological Information Engineering, Northeastern University, China
Auditing Data Leakage in Whole-Slide Image Multimodal Benchmarks
Jul 14, 2026Wenhao Zhang, Zhongliang Zhou, John Kang +1VLM Evaluation Data Leakage
University of Virginia · Merck & Co., Inc.
Toward Efficient Weakly Supervised Semantic Segmentation Using Only Low-Magnification Histopathological Images
Jul 12, 2026Dung Minh Do, Nhat-Thanh Huynh, Duc Minh Huynh +2Weakly Supervised Image Segmentation Histopathology Image Segmentation
University of Information Technology, Ho Chi Minh City, Vietnam · Vietnam National University Ho Chi Minh City, Ho Chi Minh City, Vietnam
TVT-PAPD: Pathology-Aware Prototype Distillation for Self-Supervised Whole Slide Image Classification
Jul 11, 2026Ramesh Naidu Laveti, Jaya Sreevalsan-Nair, T K SrikanthPrototype Learning Histopathology Image Classification
E-Health Research Center, International Institute of Information Technology Bangalore, Karnataka 560100, India.
ALICE: Learning a General-Purpose Pathology Foundation Model from Vision, Vision-Language, and Slide-Level Experts
Jul 10, 2026Jiawen Li, Tian Guan, Huijuan Shi +5Computational Pathology Unified Multimodal Models
Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China · Department of Pathology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China · Department of Engineering Science, University of Oxford, Oxford, UK +1
Slide-Level Active Learning Reduces Annotation Burden in H&E images
Jul 10, 2026Mahsa Vali, Zhilong Weng, Noémie Moreaua +2Computational Pathology Histopathology Image Segmentation
Institute for Biomedical Informatics, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany · Center for Molecular Medicine Cologne (CMMC), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany · Faculty of Mathematics and Natural Sciences, University of Cologne, Cologne, Germany +3
ProsMAE: Multi-Source MAE Pretraining for ISUP Grade Classification
Jul 9, 2026Anna Jung, Kyeonghun Kim, Youngung Han +6Computational Pathology Masked Autoencoders
SNU · OUTTA · GIST +1
Continual Model Merging with Test-Time Adaptation for Whole-Slide Image Analysis
Jul 6, 2026Duc-Thanh Le, Doanh C. Bui, Maï K. Nguyen +1Continual Test-Time Adaptation Histopathology Image Classification
University of Information Technology · 2Viet Nam National University Ho Chi Minh City · 3ETIS (UMR 8051), CY Cergy Paris University, ENSEA, CNRS, France
MergeSurv: Merging-Based Continual Learning for Survival Analysis on Whole-Slide Images
Jul 6, 2026Vu Minh Tran, Doanh C. Bui, Maï K. Nguyen +1Cancer Survival Prediction Survival Analysis
University of Information Technology · 2Viet Nam National University Ho Chi Minh City · 3ETIS (UMR 8051), CY Cergy Paris University, ENSEA, CNRS, France
Paired Uterine Whole-Slide Images and Pathology Reports for Multimodal Computational Pathology
Jul 4, 2026Han Li, Jingsong Liu, Ayako Ura +14Computational Pathology Medical Report Generation
Institute of Pathology, Technical University of Munich, Munich, Germany · 2Computer Aided Medical Procedures (CAMP), Technical University of Munich, Munich, Germany · 6Munich Center for Machine Learning (MCML), Munich, Germany +4
Prior-Anchored Debiasing for Long-Tailed Multi-Organ Pathology Report Generation
Jul 1, 2026Feng Yang, Jie Liu, Yubo Pang +5Medical Report Generation Long-Tail Learning
City University of Hong Kong, Hong Kong SAR · University of Nottingham, United Kingdom · University of Massachusetts Boston, United States

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Agentic Visual Reasoning in Whole-Slide Pathology Images via Active Perception

Jingyun Chen, Fengchun Liu, Linghan Cai, Songhan Jiang+4

College of Computer Science and Technology, Harbin Institute of Technology, Shenzhen · School of Computing and Data Science, The University of Hong Kong

Active Perception Medical VQA Active View Selection Whole-Slide Image Analysis

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Whole-slide visual reasoning requires identifying sparse diagnostic evidence in gigapixel pathology slides and integrating observations across spatial scales. Existing WSI methods either compress densely sampled patches into global representations or use pretrained vision-language models with heuristic region selection, weakening links between predictions and morphology or lacking pathology-trained observation policies. We present AdaptivePath, an active-perception framework that formulates WSI evidence acquisition as sequential decision making. The Navigator learns question-agnostic abnormality-driven navigation from pathologist-reviewed labels to select observation locations and spatial extents, avoiding costly question-specific trajectory annotations. We train this policy through alternating representation learning and proximal policy optimization, followed by fine-tuning with geometric and appearance consistency objectives to stabilize focus trajectories. During inference, the Navigator hierarchically acquires sparse observations from low to high magnification under a limited ROI budget. A Morphology Interpreter converts observations into question-conditioned evidence, while the Deliberator evaluates evidence and revises intermediate answers across magnifications. The Arbiter integrates deliberation history to produce final answers. AdaptivePath achieves state-of-the-art zero-shot performance on WSI and region pathology VQA benchmarks and reaches 80.14% accuracy for cancer subtype classification across six TCGA cohorts. In a blinded diagnostic-utility study, pathologists using AdaptivePath-selected observation sequences achieve 82.9% accuracy. These results demonstrate that learned active perception enables effective and traceable visual reasoning over gigapixel pathology slides.

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