Automatic SCOring of Atopic Dermatitis Using Deep Learning: A Pilot Study.

Medela, Alfonso; Mac Carthy, Taig; Aguilar Robles, S Andy; Chiesa-Estomba, Carlos M; Grimalt, Ramon

Medela, Alfonso; Mac Carthy, Taig; Aguilar Robles, S Andy; Chiesa-Estomba, Carlos M; Grimalt, Ramon.

Affiliation

Medela A; Department of Medical Computer Vision and PROMs, Legit.Health, Bilbao, Spain.
Mac Carthy T; Department of Clinical Endpoint Innovation, Legit.Health, Bilbao, Spain.
Aguilar Robles SA; Department of Medical Computer Vision and PROMs, Legit.Health, Bilbao, Spain.
Chiesa-Estomba CM; Department of Otorhinolaryngology, Osakidetza Donostia University Hospital, San Sebastian, Spain.
Grimalt R; Biodonostia Health Research Institute, San Sebastian, Spain.

JID Innov ; 2(3): 100107, 2022 May.

Article in En | MEDLINE | ID: mdl-35990535

Key words

AD, atopic dermatitis; AI, artificial intelligence; ASCORAD, Automatic SCOring Atopic Dermatitis; AUC, area under the curve; CADx, Computer-Aided Diagnosis; FAR, full agreement rate; IoU, intersection over union; PAR, partial agreement rate; RMAE, relative mean absolute error; RSD, relative SD; SCORAD, SCOring Atopic Dermatitis

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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: JID Innov Year: 2022 Document type: Article Affiliation country: España Country of publication: Países Bajos

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