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Multi-Resolution Networks for Semantic Segmentation in Whole Slide
  Images

Multi-Resolution Networks for Semantic Segmentation in Whole Slide Images

25 July 2018
Feng Gu
Nikolay Burlutskiy
Mats Andersson
Lena Kajland Wilén
    SSeg
ArXiv (abs)PDFHTML

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

19 / 19 papers shown
GNCAF: A GNN-based Neighboring Context Aggregation Framework for Tertiary Lymphoid Structures Semantic Segmentation in WSI
GNCAF: A GNN-based Neighboring Context Aggregation Framework for Tertiary Lymphoid Structures Semantic Segmentation in WSI
Lei Su
302
0
0
13 May 2025
TUMLS: Trustful Fully Unsupervised Multi-Level Segmentation for Whole Slide Images of Histology
TUMLS: Trustful Fully Unsupervised Multi-Level Segmentation for Whole Slide Images of Histology
Walid Rehamnia
A. Getmanskaya
Evgeniy Vasilyev
Vadim Turlapov
193
0
0
17 Apr 2025
Distilling High Diagnostic Value Patches for Whole Slide Image Classification Using Attention Mechanism
Distilling High Diagnostic Value Patches for Whole Slide Image Classification Using Attention Mechanism
Tianhang Nan
Hao Quan
Yong Ding
Xingyu Li
Kai Yang
Xiaoyu Cui
365
2
0
29 Jul 2024
Multi-Stain Multi-Level Convolutional Network for Multi-Tissue Breast
  Cancer Image Segmentation
Multi-Stain Multi-Level Convolutional Network for Multi-Tissue Breast Cancer Image Segmentation
Akash Modi
S. Jha
Purnendu Mishra
Rajiv Kumar
Kiran R. Aatre
Gursewak Singh
Shubham Mathur
193
2
0
09 Jun 2024
WSI-SAM: Multi-resolution Segment Anything Model (SAM) for
  histopathology whole-slide images
WSI-SAM: Multi-resolution Segment Anything Model (SAM) for histopathology whole-slide images
Hong Liu
Haosen Yang
P. Diest
J. Pluim
M. Veta
VLM
316
15
0
14 Mar 2024
A Dual-branch Self-supervised Representation Learning Framework for
  Tumour Segmentation in Whole Slide Images
A Dual-branch Self-supervised Representation Learning Framework for Tumour Segmentation in Whole Slide ImagesPattern Recognition (Pattern Recogn.), 2023
Hao Wang
Euijoon Ahn
Jinman Kim
275
20
0
20 Mar 2023
Improved distinct bone segmentation in upper-body CT through
  multi-resolution networks
Improved distinct bone segmentation in upper-body CT through multi-resolution networksInternational Journal of Computer Assisted Radiology and Surgery (IJCARS), 2023
Eva Schnider
J. Wolleb
Antal Huck
M. Toranelli
G. Rauter
M. Müller-Gerbl
Philippe C. Cattin
166
5
0
31 Jan 2023
Valuing Vicinity: Memory attention framework for context-based semantic
  segmentation in histopathology
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
159
15
0
21 Oct 2022
A Morphology Focused Diffusion Probabilistic Model for Synthesis of
  Histopathology Images
A Morphology Focused Diffusion Probabilistic Model for Synthesis of Histopathology ImagesIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Puria Azadi Moghadam
Sanne Van Dalen
K. C. Martin
J. Lennerz
Stephen S. F. Yip
H. Farahani
A. Bashashati
DiffMMedIm
351
126
0
27 Sep 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
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 AnalysisPhysics in Medicine and Biology (PMB), 2022
Linhao Qu
Siyu Liu
Xiaoyu Liu
Manning Wang
Zhijian Song
263
79
0
18 Aug 2022
FastSurferVINN: Building Resolution-Independence into Deep Learning
  Segmentation Methods -- A Solution for HighRes Brain MRI
FastSurferVINN: Building Resolution-Independence into Deep Learning Segmentation Methods -- A Solution for HighRes Brain MRINeuroImage (NeuroImage), 2021
Leonie Henschel
David Kügler
M. Reuter
385
67
0
17 Dec 2021
Predicting Axillary Lymph Node Metastasis in Early Breast Cancer Using
  Deep Learning on Primary Tumor Biopsy Slides
Predicting Axillary Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Primary Tumor Biopsy SlidesFrontiers in Oncology (Front Oncol), 2021
Feng Xu
Chuang Zhu
Wenqi Tang
Ying Wang
Yu Zhang
Jie Li
Hongchuan Jiang
Z. Shi
Jun Liu
M. Jin
363
78
0
04 Dec 2021
Objective Diagnosis for Histopathological Images Based on Machine
  Learning Techniques: Classical Approaches and New Trends
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
276
26
0
10 Nov 2020
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
Mart van Rijthoven
M. Balkenhol
Karina Silina
Jeroen van der Laak
F. Ciompi
SSeg
183
193
0
22 Jun 2020
Segmentation of Cellular Patterns in Confocal Images of Melanocytic
  Lesions in vivo via a Multiscale Encoder-Decoder Network (MED-Net)
Segmentation of Cellular Patterns in Confocal Images of Melanocytic Lesions in vivo via a Multiscale Encoder-Decoder Network (MED-Net)
Kivanc Kose
Alican Bozkurt
C. Alessi-Fox
M. Gill
C. Longo
G. Pellacani
Jennifer Dy
Dana H. Brooks
M. Rajadhyaksha
274
35
0
03 Jan 2020
Deep neural network models for computational histopathology: A survey
Deep neural network models for computational histopathology: A survey
C. Srinidhi
Ozan Ciga
Anne L. Martel
AI4CE
465
681
0
28 Dec 2019
Deep Multi-Magnification Networks for Multi-Class Breast Cancer Image
  Segmentation
Deep Multi-Magnification Networks for Multi-Class Breast Cancer Image Segmentation
D. J. Ho
D. V. K. Yarlagadda
Timothy D’alfonso
M. Hanna
Anne Grabenstetter
Peter Ntiamoah
E. Brogi
L. Tan
Thomas J. Fuchs
289
116
0
29 Oct 2019
Multi-scale fully convolutional neural networks for histopathology image
  segmentation: from nuclear aberrations to the global tissue architecture
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
MedImAI4CE
266
107
0
24 Sep 2019
DA-RefineNet:A Dual Input Whole Slide Image Segmentation Algorithm Based
  on Attention
DA-RefineNet:A Dual Input Whole Slide Image Segmentation Algorithm Based on Attention
Wandi Qiao
Rentuo Tao
Qianrun Wu
Bin Li
MedIm
318
8
0
15 Jul 2019
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