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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Graph Mamba Survival Analysis Based on Topology-Aware ordering
May 23, 2026Yuanfang Chen, Peiqiang Yan, Yuntao Shou +2Cancer Survival Prediction Whole-Slide Image Analysis
School of Mathematics and Statistics, Xi’an Jiaotong University, West China Science and Technology Innovation Harbor, Xi’an, 710049, Shaanxi Province, China · School of Computer Science and Technology, Xi’an Jiaotong University, West China Science and Technology Innovation Harbor, Xi’an, 710049, Shaanxi Province, China
CRISP -- Clustering-Based Redundancy-Reduced Instance Sampling for Pathology Case Representation and Retrieval
May 22, 2026Zahra Rahimi Afzal, Wataru Uegami, Saghir Alfasly +6Computational Pathology Medical Image Representation Learning
Kimia Lab, Department of Artificial Intelligence & Informatics, Mayo Clinic, Rochester, MN, USA · DICE Lab, Department of Electrical and Computer Engineering, University of Illinois Chicago, IL, USA · Division of Computational Pathology and Informatics, Mayo Clinic, Rochester, MN, USA +4
PathNavigate: A Training-Free Pathology Agent with Surprise-Guided Scan and Shared Slide Memory for Whole-Slide Image VQA
May 22, 2026Chunze Yang, Qidong Liu, Wenjie Zhao +10Healthcare Medical VQA
School of Comp. Science & Technology, Xi’an Jiaotong University · Tencent Jarvis Lab · University of Cambridge
ProtoPathway: Biologically Structured Prototype-Pathway Fusion for Multimodal Cancer Survival Prediction
May 20, 2026Amaya Gallagher-Syed, Costantino Pitzalis, Myles J. Lewis +2Cancer Survival Prediction Oncology
Queen Mary University of London
Thinking in Scales: Accelerating Gigapixel Pathology Image Analysis via Adaptive Continuous Reasoning
May 19, 2026Jiusong Ge, Yingkang Zhan, Wenjie Zhao +13Computational Pathology Adaptive 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
Deep learning-based compression of giga-resolution whole slide images
May 17, 2026Maren Høibø, Etienne Gaucher, Ingerid Reinertsen +2Learned Image Compression Histopathology Image Segmentation
Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology (NTNU), NO-7491 Trondheim, Norway · Department of Health Research, SINTEF Digital, NO-7465 Trondheim, Norway · Department of Circulation and Medical Imaging, Norwegian University of Science and Technology (NTNU), NO-7491 Trondheim, Norway +1
GCE-MIL: Faithful and Recoverable Evidence for Multiple Instance Learning in Whole-Slide Imaging
May 17, 2026Xiangyu Li, Ran SuExplainable Medical Image Analysis Histopathology Image Classification
College of Intelligence and Computing Tianjin University
Spatial Blindness in Whole-Slide Multiple Instance Learning
May 17, 2026Xiangyu Li, Ran SuHistopathology Image Classification Multiple Instance Learning
College of Intelligence and Computing Tianjin University Tianjin, China
FedStain: Modeling Higher-Order Stain Statistics for Federated Domain Generalization in Computational Pathology
May 14, 2026Fengyi Zhang, Junya Zhang, Wenzhuo SunComputational Pathology Whole-Slide Image Analysis
School of Electronic Science and Technology, Hainan University, Haikou, China, 570228 · School of Computer Science and Technology, Xidian University, Xi’an, China, 710126 · Xiangjiang College of Elite Engineers, Hunan University, Changsha, China, 410082
Generative Deep Learning for Computational Destaining and Restaining of Unregistered Digital Pathology Images
May 14, 2026Aarushi Kulkarni, Alarice Lowe, Pratik ShahComputational Pathology Domain Generalization
Department of Computer Science University of California Irvine, CA, USA · Department of Pathology Stanford University Stanford, CA, USA · Department of Pathology and Laboratory Medicine Biomedical Engineering Electrical Engineering and Computer Science University of California Irvine, CA, USA
DUET: Dual-Paradigm Adaptive Expert Triage with Single-cell Inductive Prior for Spatial Transcriptomics Prediction
May 13, 2026Junchao Zhu, Ruining Deng, Junlin Guo +11Spatial Transcriptomics Spatial Gene Expression Prediction
Vanderbilt University, Tennessee, USA · Weill Cornell Medicine, New York, USA · Vanderbilt University Medical Center, Tennessee, USA
Are Compact Rationales Free? Measuring Tile Selection Headroom in Frozen WSI-MIL
May 12, 2026Hyun Do Jung, Jungwon Choi, Soojung Choi +2Explainable Medical Image Analysis Histopathology 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
Bridging the Modality Bottleneck in Pathology MIL through Virtual Molecular Staining
May 12, 2026Yucheng Xing, Pei Liu, Jingying Ma +6Computational Pathology Cross-Modal Representation Learning
National University of Singapore, Singapore · Hunan University, China · Peking Union Medical College Hospital (PUMCH), China +1
RNA-FM: Flow-Matching Generative Model for Genome-wide RNA-Seq Prediction
May 12, 2026Yaxuan Song, Jianan Fan, Tianyi Wang +4Computational Pathology Genomics
School of Computer Science, The University of Sydney, Australia · Biological Systems and Engineering Division, Lawrence Berkeley National Lab, USA · Berkeley Biomedical Data Science Center, Lawrence Berkeley National Lab, USA +1
CellDX AI Autopilot: Agent-Guided Training and Deployment of Pathology Classifiers
May 11, 2026Alexey Pchelnikov, Aleksei PchelnikovComputational Pathology Healthcare
1HistAI
Geometry-Aware State Space Model: A New Paradigm for Whole-Slide Image Representation
May 6, 2026Enhui Chai, Sicheng Chen, Tianyi Zhang +4Histopathology Image Classification Multiple 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
A Breast Vision Pathology Foundation Model for Real-world Clinical Utility
May 6, 2026Yingxue Xu, Zhengyu Zhang, Xiuming Zhang +32Healthcare Clinical 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
Semantic Context-aware mOdality fUsion Transformer (SCOUT): A Context-Aware Multimodal Transformer for Concept-Grounded Pathology Report Generation
May 1, 2026Suryakant Singh, Saarthak Kapse, Joel Saltz +1Computational Pathology Medical Report Generation
Stony Brook University
Federated Distillation for Whole Slide Image via Gaussian-Mixture Feature Alignment and Curriculum Integration
May 1, 2026Luru Jing, Cong Cong, Yanyuan Chen +1Computational Pathology Dataset Distillation
School of Computer Science, Peking University, Beijing, China · Center for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Sydney, NSW 2113, Australia · School of Data Science, University of Virginia, Charlottesville, VA, USA.
Validation of Whole-Slide Foundation Models for Image Retrieval in TCGA Data
Apr 28, 2026Tianhao Lei, Parsa Esmaeilkhani, Saghir Alfasly +5Pathology Foundation Models Oncology
KIMIA Lab, Artificial Intelligence and Informatics, Mayo Clinic, Rochester, MN, USA. · Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA. · Department of Computer Science, Temple University, Philadelphia, PA, USA. +2
Benchmarking Pathology Foundation Models for Breast Cancer Survival Prediction
Apr 27, 2026Fredrik K. Gustafsson, Constance Boissin, Johan Vallon-Christersson +2Cancer Survival Prediction Survival Analysis
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden · Division of Oncology, Department of Clinical Sciences Lund, Lund University, Lund, Sweden · Department of Engineering Science, University of Oxford, Oxford, UK +1
Hierarchical Prototype-based Domain Priors for Multiple Instance Learning in Multimodal Histopathology Analysis
Apr 27, 2026Xuemei Qiu, Dawei Fan, Yebin Huang +2Cross-Modal Alignment Prototype Learning
College of Computer and Information Science, Fujian Agriculture and Forestry University, Fuzhou, 350002, China · Fujian Agriculture and Forestry University, Fuzhou, 350002, China · Department of Pathology, Clinical Oncology School of Fujian Medical University, and Fujian Cancer Hospital, Fuzhou, 350014, China +2
Weakly Supervised Multicenter Nancy Index Scoring in Ulcerative Colitis Using Foundation Models
Apr 26, 2026Adam Kukučka, Ondřej Fabián, Vít Musil +1Computational Pathology Pathology Foundation Models
Masaryk University, Faculty of Informatics, Brno, Czech Republic · Institute of Clinical and Experimental Medicine, Prague, Czech Republic
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 Pathology Pathology Foundation Models
* Vicomtech Foundation, Basque Research and Technology Alliance (BRTA) · ± eHealth Group, Bioengineering Area, Biogipuzkoa Health Research Institute
A Digital Pathology Resource for Liver Cancer Quantification with Datasets, Benchmarks, and Tools
Apr 22, 2026Ying Xiao, Shimiao Tang, Xitong Ling +11Computational Pathology Image Segmentation
Department of Pathology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua Medicine, Tsinghua University, Beijing, China · Shenzhen International Graduate School, Tsinghua University, Shenzhen, China
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 Models Oncology
Department of Pathology, College of Medicine, The Ohio State University Wexner Medical Center, Columbus, OH, USA · Department of Biomedical Engineering, The Ohio State University, Columbus, OH, USA
PBSBench: A Multi-Level Vision-Language Framework and Benchmark for Hematopathology Whole Slide Image Interpretation
Apr 19, 2026Yuanlong Wang, Weichi Chen, Adrian Rajab +4Computational Pathology Medical VQA
The Ohio State University · The Ohio State University Wexner Medical Center
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 Classification Histopathology Image Classification
Department of Computer Science, Georgia State University, Atlanta, GA USA
MambaBack: Bridging Local Features and Global Contexts in Whole Slide Image Analysis
Apr 17, 2026Sicheng Chen, Chad Wong, Tianyi Zhang +3Efficient Neural Network Inference Multiple Instance Learning
Nhu Department of Electrical Engineering and Computer Science, University of California, Irvine · Department of Electrical & Computer Engineering, National University of Singapore · PuzzleLogic Pte Ltd, Singapore 229594, Singapore
SSMamba: A Self-Supervised Hybrid State Space Model for Pathological Image Classification
Apr 17, 2026Enhui Chai, Sicheng Chen, Tianyi Zhang +2Self-Supervised Learning Pathology Foundation Models
School of Computer Science, Northwest University · PuzzleLogic Pte Ltd, Singapore 229594, Singapore · Department of Electrical & Computer Engineering, National University of Singapore +1

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Graph Mamba Survival Analysis Based on Topology-Aware ordering

Yuanfang Chen, Peiqiang Yan, Yuntao Shou, Qian Zhao+1

School of Mathematics and Statistics, Xi’an Jiaotong University, West China Science and Technology Innovation Harbor, Xi’an, 710049, Shaanxi Province, China · School of Computer Science and Technology, Xi’an Jiaotong University, West China Science and Technology Innovation Harbor, Xi’an, 710049, Shaanxi Province, China

Cancer Survival Prediction Whole-Slide Image Analysis

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In computational pathology, Whole Slide Images (WSIs) survival analysis is crucial for patient prognosis assessment, but it faces multiple technical challenges. Although the Transformer captures long-range dependencies through its self-attention mechanism, its

O(N^2)

time complexity causes a severe computational bottleneck in large-scale WSIs graph structures. The Mamba model breaks through the Transformer's computational bottleneck with linear complexity. But, owing to Mamba's high sensitivity to the order of input data, traditional node sorting methods in Graph Mamba, such as those based on node degree or subgraph size, fail to adequately account for the topological connectivity of graph data. This inadequacy consequently restricts the performance of Mamba's sequential modeling. Moreover, its unidirectional architecture cannot leverage the bidirectional spatial structure of images. To address these challenges, this paper proposes a novel Graph Mamba survival analysis framework based on topology-aware ordering (TopoMamSurv) to adapt to the sequential sensitivity of Mamba. Our visualization experiments further confirmed that the nodes extracted through the topology-aware ordering (TAO) strategy indeed exhibit higher similarity. Furthermore, we designed a bidirectional Mamba module and integrated a Graph Convolutional Network (GCN) to achieve bidirectional spatial context modeling of images, forming a hierarchical feature learning architecture for "local aggregation - global capture." This framework effectively reconciles the contradiction between long-range dependency modeling, computational efficiency, and spatial structure utilization in WSIs analysis through its systematic design of TAO, bidirectional semantic modeling, and hierarchical feature fusion. This framework has been validated for its comprehensive performance advantage on five TCGA datasets.

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Latest papers 133