mlsanityData to 7 Oct 2026

HookNet: multi-resolution convolutional neural networks for semantic segmentation in histopathology whole-slide images

arXiv 2006.12230 ↗First posted 22 Jun 2020eess.IV cs.CV cs.LGcited by 43

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Abstract (arXiv)

We propose HookNet, a semantic segmentation model for histopathology whole-slide images, which combines context and details via multiple branches of encoder-decoder convolutional neural networks. Concentricpatches at multiple resolutions with different fields of view are used to feed different branches of HookNet, and intermediate representations are combined via a hooking mechanism. We describe a framework to design and train HookNet for achieving high-resolution semantic segmentation and introduce constraints to guarantee pixel-wise alignment in feature maps during hooking. We show the advantages of using HookNet in two histopathology image segmentation tasks where tissue type prediction accuracy strongly depends on contextual information, namely (1) multi-class tissue segmentation in breast cancer and, (2) segmentation of tertiary lymphoid structures and germinal centers in lung cancer. Weshow the superiority of HookNet when compared with single-resolution U-Net models working at different resolutions as well as with a recently published multi-resolution model for histopathology image segmentation

Key facts. Cited by 43 papers in the map (data through 7 Oct 2026). First posted on arXiv 22 Jun 2020.

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Citing papers per year: 2021: 5; 2022: 6; 2023: 8; 2024: 8; 2025: 14; 2026: 2.

43 papers.

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  1. 2021Multi-Layer Pseudo-Supervision for Histopathology Tissue Semantic Segmentation using Patch-level Classification Labelscited by 43
  2. 2021Global-Local Transformer for Brain Age Estimationcited by 34
  3. 2022WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinomacited by 32
  4. 2023OCELOT: Overlapped Cell on Tissue Dataset for Histopathologycited by 29
  5. 2022WaveMix: A Resource-efficient Neural Network for Image Analysiscited by 19
  6. 2021FastSurferVINN: Building Resolution-Independence into Deep Learning Segmentation Methods -- A Solution for HighRes Brain MRIcited by 18
  7. 2024SDR-Former: A Siamese Dual-Resolution Transformer for Liver Lesion Classification Using 3D Multi-Phase Imagingcited by 17
  8. 2022RadFormer: Transformers with Global-Local Attention for Interpretable and Accurate Gallbladder Cancer Detectioncited by 12
  9. 2022Segmentation Ability Map: Interpret deep features for medical image segmentationcited by 9
  10. 2023DPA-P2PNet: Deformable Proposal-aware P2PNet for Accurate Point-based Cell Detectioncited by 8
  11. 2024WSI-SAM: Multi-resolution Segment Anything Model (SAM) for histopathology whole-slide imagescited by 7
  12. 2021PDBL: Improving Histopathological Tissue Classification with Plug-and-Play Pyramidal Deep-Broad Learningcited by 6
31 more
  1. 2023AMD-HookNet for Glacier Front Segmentationcited by 6
  2. 2025Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representationcited by 6
  3. 2023A Dual-branch Self-supervised Representation Learning Framework for Tumour Segmentation in Whole Slide Imagescited by 5
  4. 2025Towards Effective and Efficient Context-aware Nucleus Detection in Histopathology Whole Slide Imagescited by 5
  5. 2023BROW: Better featuRes fOr Whole slide image based on self-distillationcited by 4
  6. 2025A Multi-Stage Auto-Context Deep Learning Framework for Tissue and Nuclei Segmentation and Classification in H&E-Stained Histological Images of Advanced Melanomacited by 4
  7. 2022Valuing Vicinity: Memory attention framework for context-based semantic segmentation in histopathologycited by 3
  8. 2025PathoPainter: Augmenting Histopathology Segmentation via Tumor-aware Inpaintingcited by 3
  9. 2025Co-Seg++: Mutual Prompt-Guided Collaborative Learning for Versatile Medical Segmentationcited by 3
  10. 2022CD-Net: Histopathology Representation Learning using Pyramidal Context-Detail Networkcited by 2
  11. 2023Improved distinct bone segmentation in upper-body CT through multi-resolution networkscited by 2
  12. 2023Increasing the usefulness of already existing annotations through WSI registrationcited by 2
  13. 2025Comparison Study: Glacier Calving Front Delineation in Synthetic Aperture Radar Images With Deep Learningcited by 2
  14. 2025Histo-Miner: Deep learning based tissue features extraction pipeline from H&E whole slide images of cutaneous squamous cell carcinomacited by 2
  15. 2021Automatic tumour segmentation in H&E-stained whole-slide images of the pancreascited by 1
  16. 2024Integrating multiscale topology in digital pathology with pyramidal graph convolutional networkscited by 1
  17. 2025A Multicentric Dataset for Training and Benchmarking Breast Cancer Segmentation in H&E Slidescited by 1
  18. 2023Leveraging weak complementary labels to improve semantic segmentation of hepatocellular carcinoma and cholangiocarcinoma in H&E-stained slidescited by 0
  19. 2024Towards Efficient Information Fusion: Concentric Dual Fusion Attention Based Multiple Instance Learning for Whole Slide Imagescited by 0
  20. 2024Multi-Stain Multi-Level Convolutional Network for Multi-Tissue Breast Cancer Image Segmentationcited by 0
  21. 2024Advancing Histopathology-Based Breast Cancer Diagnosis: Insights into Multi-Modality and Explainabilitycited by 0
  22. 2024Histology Virtual Staining with Mask-Guided Adversarial Transfer Learning for Tertiary Lymphoid Structure Detectioncited by 0
  23. 2024Adapting Segment Anything Model to Melanoma Segmentation in Microscopy Slide Imagescited by 0
  24. 2025"No negatives needed": weakly-supervised regression for interpretable tumor detection in whole-slide histopathology imagescited by 0
  25. 2025GNCAF: A GNN-based Neighboring Context Aggregation Framework for Tertiary Lymphoid Structures Semantic Segmentation in WSIcited by 0
  26. 2025Efficient Pyramidal Analysis of Gigapixel Images on a Decentralized Modest Computer Clustercited by 0
  27. 2025OCELOT 2023: Cell Detection from Cell-Tissue Interaction Challengecited by 0
  28. 2025Generalisation of automatic tumour segmentation in histopathological whole-slide images across multiple cancer typescited by 0
  29. 2025AMD-HookNet++: Evolution of AMD-HookNet with Hybrid CNN-Transformer Feature Enhancement for Glacier Calving Front Segmentationcited by 0
  30. 2026From Multi-Resolution Cells to Gigapixel Whole Slide Images Foundation Model for Computational Pathologycited by 0
  31. 2026FTU-Seek: Foundation Model-Guided Hard-Negative Learning for Sparse Functional Tissue Unit Segmentationcited by 0