(De)Constructing Bias on Skin Lesion Datasets

18 April 2019

Papers citing "(De)Constructing Bias on Skin Lesion Datasets"

9 / 9 papers shown

Title
Artifact-Based Domain Generalization of Skin Lesion Models Alceu Bissoto Catarina Barata Eduardo Valle Sandra Avila MedIm AI4CE 41 13 0 20 Aug 2022
The (de)biasing effect of GAN-based augmentation methods on skin lesion images Agnieszka Mikołajczyk Sylwia Majchrowska Sandra Carrasco Limeros MedIm 30 20 0 30 Jun 2022
A Survey on Deep Learning for Skin Lesion Segmentation Z. Mirikharaji Kumar Abhishek Alceu Bissoto Catarina Barata Sandra Avila Eduardo Valle M. Celebi Ghassan Hamarneh 44 82 0 01 Jun 2022
Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context of Melanoma Classification P. Bevan Amir Atapour-Abarghouei MU 53 18 0 20 Sep 2021
An Evaluation of Self-Supervised Pre-Training for Skin-Lesion Analysis Levy G. Chaves Alceu Bissoto Eduardo Valle Sandra Avila 27 15 0 17 Jun 2021
Towards Robust Classification Model by Counterfactual and Invariant Data Generation C. Chang George Adam Anna Goldenberg OOD CML 27 31 0 02 Jun 2021
GAN-Based Data Augmentation and Anonymization for Skin-Lesion Analysis: A Critical Review Alceu Bissoto Eduardo Valle Sandra Avila MedIm 58 62 0 20 Apr 2021
Ethical Machine Learning in Health Care Irene Y. Chen Emma Pierson Sherri Rose Shalmali Joshi Kadija Ferryman Marzyeh Ghassemi AILaw 27 372 0 22 Sep 2020
Debiasing Skin Lesion Datasets and Models? Not So Fast Alceu Bissoto Eduardo Valle Sandra Avila 21 54 0 23 Apr 2020