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Center-Focusing Multi-task CNN with Injected Features for Classification
  of Glioma Nuclear Images
v1v2 (latest)

Center-Focusing Multi-task CNN with Injected Features for Classification of Glioma Nuclear Images

20 December 2016
Veda Murthy
L. Hou
Dimitris Samaras
Tahsin M. Kurc
Joel H. Saltz
ArXiv (abs)PDFHTML

Papers citing "Center-Focusing Multi-task CNN with Injected Features for Classification of Glioma Nuclear Images"

10 / 10 papers shown
Title
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 Analysis
Linhao Qu
Siyu Liu
Xiaoyu Liu
Manning Wang
Zhijian Song
85
58
0
18 Aug 2022
ENHANCE (ENriching Health data by ANnotations of Crowd and Experts): A
  case study for skin lesion classification
ENHANCE (ENriching Health data by ANnotations of Crowd and Experts): A case study for skin lesion classification
Ralf Raumanns
Gerard Schouten
Max Joosten
J. Pluim
Veronika Cheplygina
66
6
0
27 Jul 2021
Orientation-Disentangled Unsupervised Representation Learning for
  Computational Pathology
Orientation-Disentangled Unsupervised Representation Learning for Computational Pathology
Maxime W. Lafarge
J. Pluim
M. Veta
DRL
46
8
0
26 Aug 2020
A Survey on Incorporating Domain Knowledge into Deep Learning for
  Medical Image Analysis
A Survey on Incorporating Domain Knowledge into Deep Learning for Medical Image Analysis
Xiaozhen Xie
J. Niu
Xuefeng Liu
Zhengsu Chen
Shaojie Tang
Shui Yu
92
15
0
25 Apr 2020
Dataset of Segmented Nuclei in Hematoxylin and Eosin Stained
  Histopathology Images of 10 Cancer Types
Dataset of Segmented Nuclei in Hematoxylin and Eosin Stained Histopathology Images of 10 Cancer Types
L. Hou
Rajarsi R. Gupta
John S. Van Arnam
Yuwei Zhang
Kaustubh Sivalenka
Dimitris Samaras
Tahsin M. Kurc
Joel H. Saltz
100
48
0
18 Feb 2020
Crowd disagreement about medical images is informative
Crowd disagreement about medical images is informative
Veronika Cheplygina
J. Pluim
68
25
0
21 Jun 2018
Not-so-supervised: a survey of semi-supervised, multi-instance, and
  transfer learning in medical image analysis
Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis
Veronika Cheplygina
Marleen de Bruijne
J. Pluim
86
761
0
17 Apr 2018
Unsupervised Histopathology Image Synthesis
Unsupervised Histopathology Image Synthesis
L. Hou
Ayush Agarwal
Dimitris Samaras
Tahsin M. Kurc
Rajarsi R. Gupta
Joel H. Saltz
MedIm
52
64
0
13 Dec 2017
Sparse Autoencoder for Unsupervised Nucleus Detection and Representation
  in Histopathology Images
Sparse Autoencoder for Unsupervised Nucleus Detection and Representation in Histopathology Images
L. Hou
Vu Nguyen
Dimitris Samaras
Tahsin M. Kurc
Yi Gao
Tianhao Zhao
Joel H. Saltz
MedIm
114
144
0
03 Apr 2017
Constrained Deep Weak Supervision for Histopathology Image Segmentation
Constrained Deep Weak Supervision for Histopathology Image Segmentation
Zhipeng Jia
Xingyi Huang
E. Chang
Yan Xu
113
220
0
03 Jan 2017
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