Investigating the quality of dermamnist and fitzpatrick17k dermatological image datasets
The remarkable progress of deep learning in dermatological tasks has brought us closer to
achieving diagnostic accuracies comparable to those of human experts. However, while …
achieving diagnostic accuracies comparable to those of human experts. However, while …
Achieving Fairness Through Channel Pruning for Dermatological Disease Diagnosis
Numerous studies have revealed that deep learning-based medical image classification
models may exhibit bias towards specific demographic attributes, such as race, gender, and …
models may exhibit bias towards specific demographic attributes, such as race, gender, and …
Toward Fairness via Maximum Mean Discrepancy Regularization on Logits Space
Fairness has become increasingly pivotal in machine learning for high-risk applications
such as machine learning in healthcare and facial recognition. However, we see the …
such as machine learning in healthcare and facial recognition. However, we see the …
Evaluating Fairness and Mitigating Bias in Machine Learning: A Novel Technique using Tensor Data and Bayesian Regression
K Paxton, K Aslansefat, D Thakker, Y Papadopoulos - openreview.net
Fairness is a critical component of Trustworthy AI. In this paper, we focus on Machine
Learning (ML) and the performance of model predictions when dealing with skin color …
Learning (ML) and the performance of model predictions when dealing with skin color …