Cargando…
The degradation of performance of a state-of-the-art skin image classifier when applied to patient-driven internet search
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 from an In...
Autores principales: | Han, Seung Seog, Navarrete-Dechent, Cristian, Liopyris, Konstantinos, Kim, Myoung Shin, Park, Gyeong Hun, Woo, Sang Seok, Park, Juhyun, Shin, Jung Won, Kim, Bo Ri, Kim, Min Jae, Donoso, Francisca, Villanueva, Francisco, Ramirez, Cristian, Chang, Sung Eun, Halpern, Allan, Kim, Seong Hwan, Na, Jung-Im |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9519737/ https://www.ncbi.nlm.nih.gov/pubmed/36171272 http://dx.doi.org/10.1038/s41598-022-20632-7 |
Ejemplares similares
-
Deep neural networks show an equivalent and often superior performance to dermatologists in onychomycosis diagnosis: Automatic construction of onychomycosis datasets by region-based convolutional deep neural network
por: Han, Seung Seog, et al.
Publicado: (2018) -
A latent profile approach for classifying internet gamers based on motives for online gaming
por: Kim, Bin-Na, et al.
Publicado: (2023) -
Assessment of deep neural networks for the diagnosis of benign and malignant skin neoplasms in comparison with dermatologists: A retrospective validation study
por: Han, Seung Seog, et al.
Publicado: (2020) -
Visualizing Touton Giant Cells Under Reflectance Confocal Microscopy in Two Cases of Juvenile Xanthogranuloma
por: Peirano, Dominga, et al.
Publicado: (2023) -
Patterns of Recurrence of Cutaneous Melanoma: A Literature Review
por: Peirano, Dominga, et al.
Publicado: (2023)