Estimating Skin Tone and Effects on Classification Performance in
Dermatology Datasets

Estimating Skin Tone and Effects on Classification Performance in Dermatology Datasets

29 October 2019

N. M. Kinyanjui

Kush R. Varshney

Papers citing "Estimating Skin Tone and Effects on Classification Performance in Dermatology Datasets"

9 / 9 papers shown

Title
Consensus and Subjectivity of Skin Tone Annotation for ML Fairness Candice Schumann Gbolahan O. Olanubi Auriel Wright Ellis P. Monk Courtney Heldreth Susanna Ricco 30 21 0 16 May 2023
Racial Bias within Face Recognition: A Survey Seyma Yucer Furkan Tektas Noura Al Moubayed T. Breckon FaML 38 10 0 01 May 2023
Detecting Melanoma Fairly: Skin Tone Detection and Debiasing for Skin Lesion Classification Peter J. Bevan Amir Atapour-Abarghouei 17 29 0 06 Feb 2022
Out-of-Distribution Detection in Dermatology using Input Perturbation and Subset Scanning Hannah Kim G. Tadesse C. Cintas Skyler Speakman Kush R. Varshney OOD 12 18 0 24 May 2021
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 112 184 0 20 Apr 2021
Balancing Biases and Preserving Privacy on Balanced Faces in the Wild Joseph P. Robinson Can Qin Yann Henon Samson Timoner Y. Fu 32 25 0 16 Mar 2021
AI Progress in Skin Lesion Analysis Philippe Burlina William Paul P. Mathew Neil J. Joshi Alison W. Rebman J. Aucott 21 0 0 28 Sep 2020
Risk of Training Diagnostic Algorithms on Data with Demographic Bias Samaneh Abbasi-Sureshjani Ralf Raumanns B. Michels Gerard Schouten V. Cheplygina FaML 33 35 0 20 May 2020
Deep Learning Ensembles for Melanoma Recognition in Dermoscopy Images Noel Codella Q. Nguyen Sharath Pankanti David Gutman Brian Helba Allan Halpern John R. Smith 45 527 0 14 Oct 2016