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Crowd disagreement about medical images is informative

Crowd disagreement about medical images is informative

21 June 2018
Dovile Juodelyte
J. Pluim
ArXivPDFHTML

Papers citing "Crowd disagreement about medical images is informative"

4 / 4 papers shown
Title
The 'Problem' of Human Label Variation: On Ground Truth in Data,
  Modeling and Evaluation
The 'Problem' of Human Label Variation: On Ground Truth in Data, Modeling and Evaluation
Barbara Plank
30
97
0
04 Nov 2022
Co-Correcting: Noise-tolerant Medical Image Classification via mutual
  Label Correction
Co-Correcting: Noise-tolerant Medical Image Classification via mutual Label Correction
Jiarun Liu
Ruirui Li
Chuan Sun
OOD
NoLa
VLM
30
32
0
11 Sep 2021
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
Dovile Juodelyte
19
5
0
27 Jul 2021
Empirical Methodology for Crowdsourcing Ground Truth
Empirical Methodology for Crowdsourcing Ground Truth
Anca Dumitrache
Oana Inel
Benjamin Timmermans
Carlos Martinez-Ortiz
Robert-Jan Sips
Lora Aroyo
Chris Welty
HILM
12
17
0
24 Sep 2018
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