Multi-Resolution Networks for Semantic Segmentation in Whole Slide Images

25 July 2018

Papers citing "Multi-Resolution Networks for Semantic Segmentation in Whole Slide Images"

7 / 7 papers shown

Title
GNCAF: A GNN-based Neighboring Context Aggregation Framework for Tertiary Lymphoid Structures Semantic Segmentation in WSI Lei Su 36 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 40 6 0 14 Mar 2024
A Dual-branch Self-supervised Representation Learning Framework for Tumour Segmentation in Whole Slide Images Hao Wang Euijoon Ahn Jinman Kim 28 8 0 20 Mar 2023
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 21 7 0 21 Oct 2022
Towards Label-efficient Automatic Diagnosis and Analysis: A Comprehensive Survey of Advanced Deep Learning-based Weakly-supervised, Semi-supervised and Self-supervised Techniques in Histopathological Image Analysis Linhao Qu Siyu Liu Xiaoyu Liu Manning Wang Zhijian Song 40 57 0 18 Aug 2022
Objective Diagnosis for Histopathological Images Based on Machine Learning Techniques: Classical Approaches and New Trends Naira Elazab Hassan H. Soliman Shaker El-Sappagh S. Islam Mohammed M Elmogy 17 20 0 10 Nov 2020
HookNet: multi-resolution convolutional neural networks for semantic segmentation in histopathology whole-slide images Mart van Rijthoven M. Balkenhol Karina Silina Jeroen van der Laak F. Ciompi SSeg 22 156 0 22 Jun 2020