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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

17 April 2025
Walid Rehamnia
A. Getmanskaya
Evgeniy Vasilyev
Vadim Turlapov
ArXivPDFHTML

Papers citing "TUMLS: Trustful Fully Unsupervised Multi-Level Segmentation for Whole Slide Images of Histology"

5 / 5 papers shown
Title
DU-Net based Unsupervised Contrastive Learning for Cancer Segmentation
  in Histology Images
DU-Net based Unsupervised Contrastive Learning for Cancer Segmentation in Histology Images
Yilong Li
Yaqi Wang
Huiyu Zhou
Huaqiong Wang
Gangyong Jia
Qianni Zhang
SSL
MedIm
41
1
0
17 Jun 2022
Medical Transformer: Gated Axial-Attention for Medical Image
  Segmentation
Medical Transformer: Gated Axial-Attention for Medical Image Segmentation
Jeya Maria Jose Valanarasu
Poojan Oza
Ilker Hacihaliloglu
Vishal M. Patel
ViT
MedIm
105
988
0
21 Feb 2021
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for
  Medical Image Segmentation
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation
Nima Tajbakhsh
Laura Jeyaseelan
Q. Li
J. Chiang
Zhihao Wu
Xiaowei Ding
152
763
0
27 Aug 2019
Multi-Resolution Networks for Semantic Segmentation in Whole Slide
  Images
Multi-Resolution Networks for Semantic Segmentation in Whole Slide Images
Feng Gu
Nikolay Burlutskiy
Mats Andersson
Lena Kajland Wilén
SSeg
50
37
0
25 Jul 2018
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.8K
77,196
0
18 May 2015
1