A convolutional neural network trained with dermoscopic images of psoriasis performed on par with 230 dermatologists
Abstract
Psoriasis is a common chronic inflammatory skin disease that causes physical and psychological burden to patients. A Convolutional Neural Network (CNN) focused on dermoscopic images would substantially aid the classification and increase the accuracy of diagnosis of psoriasis.This study aimed to train an efficient deep-learning network to recognize dermoscopic images of psoriasis (and other papulosquamous diseases), improving the accuracy of the...
Paper Details
Title
A convolutional neural network trained with dermoscopic images of psoriasis performed on par with 230 dermatologists
Published Date
Dec 1, 2021
Volume
139
Pages
104924 - 104924
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History