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Risk of Training Diagnostic Algorithms on Data with Demographic Bias

Risk of Training Diagnostic Algorithms on Data with Demographic Bias

20 May 2020
Samaneh Abbasi-Sureshjani
Ralf Raumanns
B. Michels
Gerard Schouten
V. Cheplygina
    FaML
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Papers citing "Risk of Training Diagnostic Algorithms on Data with Demographic Bias"

5 / 5 papers shown
Title
On the Readiness of Scientific Data for a Fair and Transparent Use in
  Machine Learning
On the Readiness of Scientific Data for a Fair and Transparent Use in Machine Learning
Joan Giner-Miguelez
Abel Gómez
Jordi Cabot
16
0
0
18 Jan 2024
Augmenting Chest X-ray Datasets with Non-Expert Annotations
Augmenting Chest X-ray Datasets with Non-Expert Annotations
Cathrine Damgaard
Trine Eriksen
Dovile Juodelyte
V. Cheplygina
Amelia Jiménez-Sánchez
37
3
0
05 Sep 2023
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
V. Cheplygina
17
5
0
27 Jul 2021
Evaluating Deep Neural Networks Trained on Clinical Images in
  Dermatology with the Fitzpatrick 17k Dataset
Evaluating Deep Neural Networks Trained on Clinical Images in Dermatology with the Fitzpatrick 17k Dataset
Matthew Groh
Caleb Harris
L. Soenksen
Felix Lau
Rachel Han
Aerin Kim
A. Koochek
Omar Badri
104
180
0
20 Apr 2021
Towards a glaucoma risk index based on simulated hemodynamics from
  fundus images
Towards a glaucoma risk index based on simulated hemodynamics from fundus images
J. Orlando
J. Barbosa-Breda
K. V. Keer
Matthew B. Blaschko
P. Blanco
C. Bulant
53
79
0
25 May 2018
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