The degradation of performance of a state-of-the-art skin image classifier when applied to patient-driven internet search

The degradation of performance of a state-of-the-art skin image classifier when applied to patient-driven internet search

Abstract Model Dermatology ( https://modelderm.com ; Build2021) is a publicly testable neural network that can classify 184 skin disorders. We aimed to investigate whether our algorithm can classify clinical images of an Internet community along with tertiary care center datasets. Consecutive images...

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Bibliographic Details
Main Authors: Seung Seog Han, Cristian Navarrete-Dechent, Konstantinos Liopyris, Myoung Shin Kim, Gyeong Hun Park, Sang Seok Woo, Juhyun Park, Jung Won Shin, Bo Ri Kim, Min Jae Kim, Francisca Donoso, Francisco Villanueva, Cristian Ramirez, Sung Eun Chang, Allan Halpern, Seong Hwan Kim, Jung-Im Na
Format: Article
Language:English
Published: Nature Portfolio 2022-09-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-20632-7

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https://doi.org/10.1038/s41598-022-20632-7

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