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

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

22 June 2020

Mart van Rijthoven

Jeroen van der Laak

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

17 / 17 papers shown

Title
Co-Seg++: Mutual Prompt-Guided Collaborative Learning for Versatile Medical Segmentation Qing Xu Yuxiang Luo Wenting Duan Zhen Chen 17 0 0 20 Jun 2025
GNCAF: A GNN-based Neighboring Context Aggregation Framework for Tertiary Lymphoid Structures Semantic Segmentation in WSI Lei Su 75 0 0 13 May 2025
WSI-SAM: Multi-resolution Segment Anything Model (SAM) for histopathology whole-slide images Hong Liu Haosen Yang P. Diest J. Pluim M. Veta VLM 90 8 0 14 Mar 2024
OCELOT: Overlapped Cell on Tissue Dataset for Histopathology Jeongun Ryu Aaron Valero Puche Jaewoong Shin Seonwook Park Biagio Brattoli ... S. Cho K. Paeng C-Y. Ock D. Yoo Sérgio Pereira 104 25 0 23 Mar 2023
A Dual-branch Self-supervised Representation Learning Framework for Tumour Segmentation in Whole Slide Images Hao Wang Euijoon Ahn Jinman Kim 74 8 0 20 Mar 2023
AMD-HookNet for Glacier Front Segmentation Fei Wu Nora Gourmelon T. Seehaus Jianlin Zhang M. Braun Andreas Maier Vincent Christlein 84 9 0 06 Feb 2023
Improved distinct bone segmentation in upper-body CT through multi-resolution networks Eva Schnider J. Wolleb Antal Huck M. Toranelli G. Rauter M. Müller-Gerbl Philippe C. Cattin 39 4 0 31 Jan 2023
Segmentation Ability Map: Interpret deep features for medical image segmentation Sheng He Yanfang Feng P. E. Grant Yangming Ou SSeg 51 27 0 19 Dec 2022
RadFormer: Transformers with Global-Local Attention for Interpretable and Accurate Gallbladder Cancer Detection Soumen Basu Mayank Gupta Pratyaksha Rana Pankaj Gupta Chetan Arora ViT MedIm 81 33 0 09 Nov 2022
Valuing Vicinity: Memory attention framework for context-based semantic segmentation in histopathology Oliver Ester Fabian Horst C. Seibold J. Keyl Saskia Ting ... P. Ivanyi Viktor Grünwald J. Bräsen Jan Egger Jens Kleesiek 51 9 0 21 Oct 2022
WaveMix: A Resource-efficient Neural Network for Image Analysis Pranav Jeevan Kavitha Viswanathan S. AnanduA A. Sethi 111 21 0 28 May 2022
CD-Net: Histopathology Representation Learning using Pyramidal Context-Detail Network S. Kapse Srijan Das Prateek Prasanna 60 5 0 28 Mar 2022
FastSurferVINN: Building Resolution-Independence into Deep Learning Segmentation Methods -- A Solution for HighRes Brain MRI Leonie Henschel David Kügler M. Reuter 137 49 0 17 Dec 2021
PDBL: Improving Histopathological Tissue Classification with Plug-and-Play Pyramidal Deep-Broad Learning Jiatai Lin Guoqiang Han Xipeng Pan Hao Chen Danyi Li ... Haiming Li C. Liang Li Liang Zaiyi Liu Chu Han 86 34 0 04 Nov 2021
Multi-Layer Pseudo-Supervision for Histopathology Tissue Semantic Segmentation using Patch-level Classification Labels Chu Han Jiatai Lin Jinhai Mai Yi Wang Qingling Zhang ... Zeyan Xu Xiaomei Huang Guoqiang Han Chang-xiu Liang Zaiyi Liu 102 99 0 14 Oct 2021
Global-Local Transformer for Brain Age Estimation Sheng He P. E. Grant Yangming Ou ViT MedIm 96 109 0 03 Sep 2021
Multi-scale fully convolutional neural networks for histopathology image segmentation: from nuclear aberrations to the global tissue architecture Rüdiger Schmitz F. Madesta M. Nielsen Jenny Krause R. Werner T. Rösch MedIm AI4CE 60 88 0 24 Sep 2019