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Achieving Fairness Through Channel Pruning for Dermatological Disease
  Diagnosis

Achieving Fairness Through Channel Pruning for Dermatological Disease Diagnosis

14 May 2024
Qingpeng Kong
Ching-Hao Chiu
Dewen Zeng
Yu-Jen Chen
Tsung-Yi Ho
Jingtong Hu
Yiyu Shi
ArXivPDFHTML

Papers citing "Achieving Fairness Through Channel Pruning for Dermatological Disease Diagnosis"

4 / 4 papers shown
Title
Achieve Fairness without Demographics for Dermatological Disease
  Diagnosis
Achieve Fairness without Demographics for Dermatological Disease Diagnosis
Ching-Hao Chiu
Yu-Jen Chen
Yawen Wu
Yiyu Shi
Tsung-Yi Ho
35
4
0
16 Jan 2024
On Fairness of Medical Image Classification with Multiple Sensitive
  Attributes via Learning Orthogonal Representations
On Fairness of Medical Image Classification with Multiple Sensitive Attributes via Learning Orthogonal Representations
Wenlong Deng
Yuan Zhong
Qianming Dou
Xiaoxiao Li
FaML
33
17
0
04 Jan 2023
On the Fairness of Swarm Learning in Skin Lesion Classification
On the Fairness of Swarm Learning in Skin Lesion Classification
Dian Fan
Yifan Wu
Xiaoxiao Li
35
19
0
24 Sep 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
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