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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

27 July 2021
Ralf Raumanns
Gerard Schouten
Max Joosten
J. Pluim
Veronika Cheplygina
ArXivPDFHTML

Papers citing "ENHANCE (ENriching Health data by ANnotations of Crowd and Experts): A case study for skin lesion classification"

13 / 13 papers shown
Title
Augmenting Chest X-ray Datasets with Non-Expert Annotations
Augmenting Chest X-ray Datasets with Non-Expert Annotations
Veronika Cheplygina
Cathrine Damgaard
Dovile Juodelyte
Veronika Cheplygina
Amelia Jiménez-Sánchez
90
3
0
05 Sep 2023
Risk of Training Diagnostic Algorithms on Data with Demographic Bias
Risk of Training Diagnostic Algorithms on Data with Demographic Bias
Samaneh Abbasi-Sureshjani
Ralf Raumanns
B. Michels
Gerard Schouten
Veronika Cheplygina
FaML
45
35
0
20 May 2020
Crowd disagreement about medical images is informative
Crowd disagreement about medical images is informative
Veronika Cheplygina
J. Pluim
41
24
0
21 Jun 2018
Lung and Pancreatic Tumor Characterization in the Deep Learning Era:
  Novel Supervised and Unsupervised Learning Approaches
Lung and Pancreatic Tumor Characterization in the Deep Learning Era: Novel Supervised and Unsupervised Learning Approaches
Sarfaraz Hussein
Pujan Kandel
C. Bolan
Michael B. Wallace
Ulas Bagci
106
220
0
10 Jan 2018
Skin Lesion Analysis Toward Melanoma Detection: A Challenge at the 2017
  International Symposium on Biomedical Imaging (ISBI), Hosted by the
  International Skin Imaging Collaboration (ISIC)
Skin Lesion Analysis Toward Melanoma Detection: A Challenge at the 2017 International Symposium on Biomedical Imaging (ISBI), Hosted by the International Skin Imaging Collaboration (ISIC)
Noel Codella
D. Gutman
M. E. Celebi
Brian Helba
Michael Marchetti
...
Aadi Kalloo
Konstantinos Liopyris
N. Mishra
Harald Kittler
Allan Halpern
75
2,062
0
13 Oct 2017
An Overview of Multi-Task Learning in Deep Neural Networks
An Overview of Multi-Task Learning in Deep Neural Networks
Sebastian Ruder
CVBM
111
2,817
0
15 Jun 2017
Who Said What: Modeling Individual Labelers Improves Classification
Who Said What: Modeling Individual Labelers Improves Classification
M. Guan
Varun Gulshan
Andrew M. Dai
Geoffrey E. Hinton
NoLa
38
226
0
26 Mar 2017
Center-Focusing Multi-task CNN with Injected Features for Classification
  of Glioma Nuclear Images
Center-Focusing Multi-task CNN with Injected Features for Classification of Glioma Nuclear Images
Veda Murthy
L. Hou
Dimitris Samaras
Tahsin M. Kurc
Joel H. Saltz
42
37
0
20 Dec 2016
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based
  Localization
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
FAtt
236
19,796
0
07 Oct 2016
Skin Lesion Analysis toward Melanoma Detection: A Challenge at the
  International Symposium on Biomedical Imaging (ISBI) 2016, hosted by the
  International Skin Imaging Collaboration (ISIC)
Skin Lesion Analysis toward Melanoma Detection: A Challenge at the International Symposium on Biomedical Imaging (ISBI) 2016, hosted by the International Skin Imaging Collaboration (ISIC)
David Gutman
Noel Codella
Emre M. Celebi
Brian Helba
Michael Marchetti
N. Mishra
Allan Halpern
65
662
0
04 May 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.6K
192,638
0
10 Dec 2015
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DV
BDL
594
27,231
0
02 Dec 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.1K
99,991
0
04 Sep 2014
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