Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context of Melanoma Classification

20 September 2021

Papers citing "Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context of Melanoma Classification"

14 / 14 papers shown

Title
Unlearning-based Neural Interpretations Ching Lam Choi Alexandre Duplessis Serge Belongie FAtt 30 0 0 10 Oct 2024
BMFT: Achieving Fairness via Bias-based Weight Masking Fine-tuning Yuyang Xue Junyu Yan Raman Dutt Fasih Haider Jingshuai Liu Steven G. McDonagh Sotirios A. Tsaftaris 18 1 0 13 Aug 2024
On Biases in a UK Biobank-based Retinal Image Classification Model A. Alloula Rima Mustafa Daniel R. McGowan Bartlomiej W. Papie.z 30 1 0 30 Jul 2024
Dataset Distribution Impacts Model Fairness: Single vs. Multi-Task Learning Ralf Raumanns Gerard Schouten J. Pluim V. Cheplygina 24 1 0 24 Jul 2024
Revisiting Skin Tone Fairness in Dermatological Lesion Classification Thorsten Kalb Kaisar Kushibar C. Cintas Karim Lekadir Oliver Díaz Richard Osuala 28 6 0 18 Aug 2023
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning Zhenyi Wang Enneng Yang Li Shen Heng-Chiao Huang KELM MU 29 45 0 16 Jul 2023
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy T. Shaik Xiaohui Tao Haoran Xie Lin Li Xiaofeng Zhu Qingyuan Li MU 22 25 0 10 May 2023
Data AUDIT: Identifying Attribute Utility- and Detectability-Induced Bias in Task Models Michael F. Pavlak Nathan G. Drenkow N. Petrick M. M. Farhangi Mathias Unberath MLAU 19 0 0 06 Apr 2023
Removing confounding information from fetal ultrasound images K. Mikolaj Manxi Lin Zahra Bashir M. B. S. Svendsen M. Tolsgaard Anders Christensen Aasa Feragen 16 3 0 24 Mar 2023
Siamese Neural Networks for Skin Cancer Classification and New Class Detection using Clinical and Dermoscopic Image Datasets Michael Luke Battle Amir Atapour-Abarghouei A. Mcgough 14 2 0 12 Dec 2022
Deep Regression Unlearning Ayush K Tarun Vikram S Chundawat Murari Mandal Mohan S. Kankanhalli BDL MU 14 31 0 15 Oct 2022
A survey of Identification and mitigation of Machine Learning algorithmic biases in Image Analysis Laurent Risser Agustin Picard Lucas Hervier Jean-Michel Loubes FaML 19 5 0 10 Oct 2022
The (de)biasing effect of GAN-based augmentation methods on skin lesion images Agnieszka Mikołajczyk Sylwia Majchrowska Sandra Carrasco Limeros MedIm 11 12 0 30 Jun 2022
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 261 10,106 0 16 Nov 2016