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Semantic annotation for computational pathology: Multidisciplinary
  experience and best practice recommendations

Semantic annotation for computational pathology: Multidisciplinary experience and best practice recommendations

25 June 2021
N. Wahab
I. Miligy
K. Dodd
H. Sahota
M. Toss
Wenqi Lu
Mostafa Jahanifar
M. Bilal
S. Graham
Young Park
G. Hadjigeorghiou
A. Bhalerao
Ayat G. Lashen
Asmaa Ibrahim
A. Katayama
H. Ebili
Matthew Parkin
T. Sorell
S. Raza
E. Hero
H. Eldaly
Yee Wah Tsang
K. Gopalakrishnan
David R. J. Snead
E. Rakha
Nasir M. Rajpoot
F. Minhas
ArXiv (abs)PDFHTML

Papers citing "Semantic annotation for computational pathology: Multidisciplinary experience and best practice recommendations"

7 / 7 papers shown
Title
Weakly Supervised Deep Nuclei Segmentation Using Partial Points
  Annotation in Histopathology Images
Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images
Hui Qu
Pengxiang Wu
Qiaoying Huang
Jingru Yi
Zhennan Yan
Kang Li
G. Riedlinger
S. De
Shaoting Zhang
Dimitris N. Metaxas
55
159
0
10 Jul 2020
NuClick: A Deep Learning Framework for Interactive Segmentation of
  Microscopy Images
NuClick: A Deep Learning Framework for Interactive Segmentation of Microscopy Images
Navid Alemi Koohbanani
Mostafa Jahanifar
Neda Zamani Tajadin
Nasir M. Rajpoot
54
124
0
29 May 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
132
580
0
28 Dec 2019
Multi-Instance Multi-Scale CNN for Medical Image Classification
Multi-Instance Multi-Scale CNN for Medical Image Classification
Shaohua Li
Yong Liu
Xiuchao Sui
Cheng Chen
Gabriel Tjio
Daniel Ting
Rick Siow Mong Goh
43
49
0
04 Jul 2019
Quantifying the effects of data augmentation and stain color
  normalization in convolutional neural networks for computational pathology
Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology
David Tellez
G. Litjens
Péter Bándi
W. Bulten
J. Bokhorst
F. Ciompi
Jeroen van der Laak
MedImOOD
50
486
0
18 Feb 2019
Self-supervised Visual Feature Learning with Deep Neural Networks: A
  Survey
Self-supervised Visual Feature Learning with Deep Neural Networks: A Survey
Longlong Jing
Yingli Tian
SSL
130
1,700
0
16 Feb 2019
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
80
1,032
0
16 Dec 2018
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