Towards Reliable Dermatology Evaluation Benchmarks

13 September 2023

Papers citing "Towards Reliable Dermatology Evaluation Benchmarks"

7 / 7 papers shown

Title
MpoxVLM: A Vision-Language Model for Diagnosing Skin Lesions from Mpox Virus Infection Xu Cao Wenqian Ye K. Moise Megan Coffee 31 2 0 16 Nov 2024
PASSION for Dermatology: Bridging the Diversity Gap with Pigmented Skin Images from Sub-Saharan Africa Philippe Gottfrois Fabian Gröger Faly Herizo Andriambololoniaina L. Amruthalingam Alvaro Gonzalez-Jimenez ... M. Pouly Mendrika Fifaliana Rakotoarisaona Fahafahantsoa Rapelanoro Rabenja Ibrahima Traoré A. Navarini LM&MA 30 1 0 07 Nov 2024
S-SYNTH: Knowledge-Based, Synthetic Generation of Skin Images Andrea Kim Niloufar Saharkhiz E. Sizikova Miguel Lago B. Sahiner Jana G. Delfino Aldo Badano SyDa MedIm 19 1 0 31 Jul 2024
Investigating the Quality of DermaMNIST and Fitzpatrick17k Dermatological Image Datasets Kumar Abhishek Aditi Jain Ghassan Hamarneh 33 2 0 25 Jan 2024
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 Y. Zou A. Chiou 45 217 0 15 Mar 2022
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 295 5,761 0 29 Apr 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 104 180 0 20 Apr 2021