FEDD -- Fair, Efficient, and Diverse Diffusion-based Lesion Segmentation and Malignancy Classification

21 July 2023

Papers citing "FEDD -- Fair, Efficient, and Diverse Diffusion-based Lesion Segmentation and Malignancy Classification"

4 / 4 papers shown

Title
Disparities in Dermatology AI Performance on a Diverse, Curated Clinical Image Set Roxana Daneshjou Kailas Vodrahalli R. Novoa Melissa Jenkins Weixin Liang ... Rachna Sahasrabudhe Johan A. C. Allerup Utako Okata-Karigane James Zou A. Chiou 50 217 0 15 Mar 2022
Label-Efficient Semantic Segmentation with Diffusion Models Dmitry Baranchuk Ivan Rubachev A. Voynov Valentin Khrulkov Artem Babenko DiffM VLM 195 516 0 06 Dec 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 112 182 0 20 Apr 2021
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 267 36,371 0 25 Aug 2016