Histopathology Image Segmentation

Ask about this topic

Overview

The field develops methods to label tissue types and outline individual cells, nuclei, glands, or lesions in stained pathology images, from small image patches to gigapixel whole-slide images. Common approaches include U-Net-style convolutional networks, transformers and pathology foundation models, boundary-aware instance segmentation, and interactive or prompt-based models. Because pixel-level labels are costly, many methods use weak or semi-supervised learning, sparse annotations, pseudo-labels, or multimodal signals; performance is often tested on benchmarks such as PanNuke, MoNuSeg, GlaS, CRAG, and BCSS. A central challenge is maintaining accurate boundaries and reliable results across stains, hospitals, magnifications, and tissue types while reducing annotation and computation costs.

Latest papers

CardsList

53 papers7 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

  1. Automated Nucleus Segmentation in Histology Images: An Attention U-Net Approach with Comprehensive Preprocessing and Inference Pipelines

    Oct 22, 2026Akshat G, Divyansh Gupta, Tusar Kanti MishraHistopathology Image SegmentationConvolutional Neural Networks

    Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education, Manipal, India

  2. SWIFT-Cell: Segmentation Without Iterative Flow Tracking

    Oct 21, 2026Devansh Lalwani, Swapnil Bhat, Muralikrishna H H +2Histopathology Image SegmentationComputational Pathology

    Turocrates.ai, Mumbai, India · Department of Pathology, ESIC Medical College and Hospital, Kalaburagi, Karnataka, India

  3. Benchmarking and Improvement of Artifact Segmentation Methods in H&E-Stained Whole Slide Imaging

    Oct 16, 2026Julia Merta, Daniel Mendelsohn, Benedikt Schoser +2Histopathology Image SegmentationComputational Pathology

    Department of Data Science and Engineering, Silesian University of Technology, Akademicka 16, Gliwice, 44-100, Poland · Friedrich-Baur-Institute, Department of Neurology, LMU Medizin, Munich, 80336, Germany · Yale Cancer Center, Yale University, New Haven, 06511, CT, USA

  4. GDBA-Net: A Gated Dual-Branch Adaptation of SAM2 for Robust Cross-Domain Nuclei Segmentation

    Oct 14, 2026Biplab Poudel, Betserai Albert Magarire, Anish Kumar Shah +2Histopathology Image SegmentationMedical Image Segmentation

    Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO 65211, USA · Bond Life Sciences Center, University of Missouri, Columbia, MO 65211, USA · Department of Applied Computing, Lander University, Greenwood, SC 29649, USA +2

  5. Comprehensive Evaluation and Fine-Tuning of Foundational Cell Nuclei Segmentation Models in Renal Pathology

    Oct 6, 2026Ruijie Wu, Junlin Guo, Ruining Deng +4Medical Imaging Foundation ModelsFine-Tuning

    Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN 37235, USA · Department of Radiology, Weill Cornell Medicine, New York, NY 10021, USA · Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN 37235, USA +2

  6. Colorectal Cancer Segmentation with Adaptive Augmentation and Multi-Resolution Ensemble Models

    Sep 29, 2026Ümit Mert Çağlar, Alptekin TemizelHistopathology Image SegmentationLarge Language Model-Based Data Augmentation

    Graduate School of Informatics, METU, Ankara, Turkey

  7. NucShare: A Shared-Decoder Framework for Lightweight Nuclei Instance Segmentation

    Sep 28, 2026Wenyan Li, Xiangyang Jia, Wenlong Zhong +1Efficient Neural Network InferenceHistopathology Image Segmentation

    School of Computer Science, Wuhan University, Wuhan, China

  8. FTU-Seek: Foundation Model-Guided Hard-Negative Learning for Sparse Functional Tissue Unit Segmentation

    Sep 1, 2026Zonghao Liu, Lei Su, Jiguang Yu +4Histopathology Image SegmentationWhole-Slide Image Analysis

    Department of Hepatopancreatobiliary Surgery, Clinical Oncology School, Fujian Medical University, Fuzhou, 350014, China. · Innovation Center for Cancer Research, Clinical Oncology School, Fujian Medical University, Fuzhou, 350014, China. · Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China. +5

  9. LUCAID: Agentic Multimodal AI for Lung Cancer Precision Pathology

    Aug 24, 2026Marie-Lisa Eich, Kai Standvoss, Timo Milbich +30Computational PathologyHistopathology Image Segmentation

    Institute of Pathology, Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Germany · Berlin Institute of Health at Charité – Universitätsmedizin Berlin, BIH Biomedical Innovation Academy, BIH · Charité Digital Clinician +13

  10. Interactive Whole Slide Images for RL-based Tumour Segmentation

    Aug 17, 2026Mohamad Mohamad, Francesco Ponzio, Maxime Gassier +2Medical Image SegmentationHistopathology Image Segmentation

    Universit´e Cˆote d’Azur, Inria, CNRS, I3S, INSERM, IBV, Sophia Antipolis, France · Department of Control and Computer Engineering, Politecnico di Torino, Turin, Italy · Department of Pathology, Bichat Hospital, Assistance Publique–Hˆopitaux de Paris, Paris, France

  11. Comprehensive Benchmarking of Deep Learning Architectures for Lung Cancer Histopathology

    Aug 16, 2026Hadi Hasan, Safaa Salman, Lama Sleem +2Histopathology Image ClassificationComputational Pathology

    Electrical and Computer Engineering American University of Beirut Beirut, Lebanon · Computational Science American University of Beirut Beirut, Lebanon · Industrial Engineering American University of Beirut Beirut, Lebanon

  12. CoDiR: Confidence-Guided Diffusion Refinement for Semi-Supervised Histopathology Segmentation

    Aug 12, 2026Hoai Nhan Pham, Dang-Nguyen Bui, Le-Van Thai +7Histopathology Image SegmentationSemi-Supervised Medical Image Segmentation

    AI VIETNAM Lab, Vietnam · Portland Community College, USA · University of Science, VNU-HCM, Ho Chi Minh City, Vietnam +4

  13. ProBAG: Prototype-Guided Boundary-Aware Graph Diffusion for Weakly Supervised Histopathology Segmentation

    Aug 12, 2026Duy-Dong Nguyen, Le-Van Thai, Hoai Nhan Pham +3Histopathology Image SegmentationWeakly Supervised Semantic Segmentation

    AI VIETNAM Lab, Vietnam · Department of Mechanical System Engineering, Jeonbuk National University, Republic of Korea · Washington University School of Medicine, Saint Louis, MO, USA +1

  14. One Model to Magnify Them All: Efficient Scale-Invariant Histopathology via Conditional Normalization and Continuous Magnification Training

    Aug 10, 2026Agnieszka Florkowska, Henning Müller, Marek WodzinskiComputational PathologyHistopathology Image Segmentation

    Sano Centre for Computational Medicine, Krakow, Poland · AGH University of Krakow, al. Adama Mickiewicza 30, 30-059 Kraków, Poland · Institute of Informatics, HES-SO Valais-Wallis, Sierre, Switzerland +1

  15. SAFViT: Spatial Attention Fusion Gating for Vision Transformer-Based Nucleus Segmentation and Classification

    Jul 30, 2026Harshit Mittal, Arash RabbaniPanoptic SegmentationHistopathology Image Segmentation

  16. 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 SegmentationHistopathology Image Segmentation

    University of Information Technology, Ho Chi Minh City, Vietnam · Vietnam National University Ho Chi Minh City, Ho Chi Minh City, Vietnam

  17. Slide-Level Active Learning Reduces Annotation Burden in H&E images

    Jul 10, 2026Mahsa Vali, Zhilong Weng, Noémie Moreaua +2Computational PathologyHistopathology 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

  18. 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

  19. C2RM-Seg: Causal Counterfactual Reasoning with Structural-Semantic Priors for Weakly Supervised Histopathological Tissue Segmentation

    Jun 24, 2026Hualong Zhang, Siyang Feng, Zihan Huan +4Computational PathologyWeakly Supervised Image Segmentation

    Guangxi Key Laboratory of Image and Graphic Intelligent Processing, Guilin University of Electronic Technology, Guilin 541004, China · International Joint Research Laboratory of Spatio-temporal Information and Intelligent Location Services, Guilin University of Electronic Technology, Guilin 541004, China · School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin 541004, China

  20. Single-Stage Hierarchical Rectification for Weakly Supervised Histopathology Segmentation

    Jun 18, 2026Duc T. Nguyen, Hoang-Long Nguyen, Thanh-Ha DO +1Computational PathologyWeakly Supervised Image Segmentation

    College of Engineering & Computer Science, VinUniversity, Hanoi, Vietnam · VinUni-Illinois Smart Health Center, VinUniversity, Hanoi, Vietnam · The Computer Vision and Medical AI Lab, VinUniversity, Hanoi, Vietnam +1

  21. SegTME-UNI2: A Foundation Model-Based Framework for Generalisable Multiclass Cell Segmentation and LLM-Driven Tumour Microenvironment Characterisation in Histopathology

    Jun 16, 2026Wan Siti Halimatul Munirah Wan Ahmad, Faris Syahmi Samidi, Mohammad Badal Ahmmed +3Computational PathologyMedical Report Generation

    Department of Data Science and Artificial Intelligence, School of Computing and Artificial Intelligence, Faculty of Engineering and Technology, Sunway University, Bandar Sunway, Malaysia · Department of Electrical and Electronic Engineering, College of Engineering, Universiti Tenaga Nasional, Kajang, Malaysia · Faculty of Dentistry, Universiti Malaya, Kuala Lumpur, Malaysia

  22. Vision-Language Models as Zero-Annotation Oracles in Histopathology

    Jun 15, 2026Vishal Jain, Giorgio Buzzanca, Sarah Cechnicka +6Computational PathologyHistopathology Image Segmentation

    Imperial College London, London, UK · Leiden University Medical Center, Leiden, The Netherlands · KU Leuven, Leuven, Belgium +3

  23. AMN: An Adaptive Multi-Scale Fusion Network with Boundary and Uncertainty Modeling for Nuclei Segmentation

    May 31, 2026Spoorthi M, Suja PalaniswamyHistopathology Image SegmentationHybrid CNN-Transformer Architectures

    Department of Computer Science & Engineering, Amrita School of Computing, Bengaluru, Amrita Vishwa Vidyapeetham, India

  24. One Click per Cell Type Suffices: Training-free Group Interaction for Cell Instance Segmentation

    May 28, 2026Sanghyun Jo, Seo Jin Lee, Seohyung Hong +4Interactive Medical Image SegmentationCross-Modality Medical Image Segmentation

    1OGQ, Korea · 2Seoul National University, Korea · 3LG CNS, Korea

  25. ImPartial: Multi-channel Whole-Cell Segmentation using Partial Annotations

    May 22, 2026Gunjan Shrivastava, Saad NadeemImage SegmentationWeakly Supervised Image Segmentation

    Memorial Sloan Kettering Cancer Center, New York NY 10065, USA

  26. Deep learning-based compression of giga-resolution whole slide images

    May 17, 2026Maren Høibø, Etienne Gaucher, Ingerid Reinertsen +2Learned Image CompressionHistopathology 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

  27. Beyond ViT Tokens: Masked-Diffusion Pretrained Convolutional Pathology Foundation Model for Cell-Level Dense Prediction

    May 8, 2026Weiming Chen, Xitong Ling, Zhenyang Cai +5Computational PathologyHistopathology Image Segmentation

    1Tsinghua Shenzhen International Graduate School, Tsinghua University · 3Research Institute of Tsinghua, Pearl River Delta · 2The Chinese University of Hong Kong, ShenZhen

  28. Dino-NestedUNet: Unlocking Foundation Vision Encoders for Pathology Tumor Bulk Segmentation via Dense Decoding

    Apr 27, 2026Tianyang Wang, Ziyu Su, Abdul Rehman Akbar +7Histopathology Image SegmentationU-Net

    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

  29. Semantic Segmentation for Histopathology using Learned Regularization based on Global Proportions

    Apr 27, 2026Yangping Li, Thomas Pinetz, Michael Hölzel +2Computational PathologyImage Segmentation

    Institute of Pathology, University Hospital Bonn, Sigmund-Freud-Str. 25, 53127 Bonn, Germany · Institute for Applied Mathematics, University of Bonn, Endenicher Allee 60, 53115 Bonn, Germany · Institute of Experimental Oncology, University Hospital Bonn, Sigmund-Freud-Str. 25, 53127 Bonn, Germany

  30. VitaminP: cross-modal learning enables whole-cell segmentation from routine histology

    Apr 26, 2026Yasin Shokrollahi, Karina B. Pinao Gonzales, Elizve N. Barrientos Toro +5Cross-Modal LearningComputational Pathology

    Department of Translational Molecular Pathology, Division of Pathology and Laboratory Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. · Institute for Data Science in Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. · The University of Texas MD Anderson Cancer Center, Houston, TX, USA.