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Detecting eczema areas in digital images: an impossible task?
Guillem Hurault
,
Kevin Pan
,
Ricardo Mokhtari
,
Bayanne Olabi
,
Eleanor Earp
,
Lloyd Steele
,
Hywel C. Williams
,
Reiko Tanaka
March 2022
Computer vision
Cite
Code
DOI
MedRxiv
Type
Journal article
Publication
JID Innovations
Atopic dermatitis
segmentation
inter-rater reliability
digital images
machine learning
Guillem Hurault
Research Associate
Kevin Pan
PhD student
Reiko Tanaka
Reader in Computational Systems Biology & Medicine
Related
EczemaPred: A computational framework for personalised prediction of eczema severity dynamics
Reliable detection of eczema areas for fully automated assessment of eczema severity from digital camera images
Determining the clinical applicability of machine learning models through assessment of reporting across skin phototypes and rarer skin cancer types: A systematic review
Mathematical modeling of atopic dermatitis reveals “double-switch” mechanisms underlying 4 common disease phenotypes
Water resistance profile as a marker of skin barrier damage in atopic dermatitis patients
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