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Deep Learning Models Delineates Multiple Nuclear Phenotypes in H&E
  Stained Histology Sections
v1v2 (latest)

Deep Learning Models Delineates Multiple Nuclear Phenotypes in H&E Stained Histology Sections

13 February 2018
M. Khoshdeli
B. Parvin
ArXiv (abs)PDFHTML

Papers citing "Deep Learning Models Delineates Multiple Nuclear Phenotypes in H&E Stained Histology Sections"

3 / 3 papers shown
Title
Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future
  Directions
Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions
Luyang Luo
Xi Wang
Yi Lin
Xiaoqi Ma
Andong Tan
R. Chan
V. Vardhanabhuti
W. C. Chu
Kwang-Ting Cheng
Hao Chen
104
59
0
13 Apr 2023
Using Multi-scale SwinTransformer-HTC with Data augmentation in CoNIC Challenge
Chia-Yen Lee
Hsiang-Chin Chien
Ching-Ping Wang
Hong Yen
Kai Zhen
Hongfei Lin
ViTMedIm
29
2
0
28 Feb 2022
HoVer-Net: Simultaneous Segmentation and Classification of Nuclei in
  Multi-Tissue Histology Images
HoVer-Net: Simultaneous Segmentation and Classification of Nuclei in Multi-Tissue Histology Images
S. Graham
Q. Vu
S. Raza
A. Azam
Yee Wah Tsang
J. T. Kwak
Nasir M. Rajpoot
107
1,038
0
16 Dec 2018
1