title: Automatic detection and severity measurement of eczema using image processing.
abstract: Chronic skin diseases like eczema may lead to severe health and financial consequences for patients if not detected and controlled early. Early measurement of disease severity, combined with a recommendation for skin protection and use of appropriate medication can prevent the disease from worsening. Current diagnosis can be costly and time-consuming. In this paper, an automatic eczema detection and severity measurement model are presented using modern image processing and computer algorithm. The system can successfully detect regions of eczema and classify the identified region as mild or severe based on image color and texture feature. Then the model automatically measures skin parameters used in the most common assessment tool called "Eczema Area and Severity Index (EASI)," by computing eczema affected area score, eczema intensity score, and body region score of eczema allowing both patients and physicians to accurately assess the affected skin.
authors.forename: Md Nafiul
authors.initials: MN
authors.lastname: Alam
authors.forename: Tamanna Tabassum Khan
authors.initials: TT
authors.lastname: Munia
authors.forename: Kouhyar
authors.initials: K
authors.lastname: Tavakolian
authors.forename: Fartash
authors.initials: F
authors.lastname: Vasefi
authors.forename: Nick
authors.initials: N
authors.lastname: MacKinnon
authors.forename: Reza
authors.initials: R
authors.lastname: Fazel-Rezai
mesh_terms: D000465:Algorithms; D004485:Eczema / Q000000981:diagnostic imaging* / Q000473:pathology*; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008297:Male; D012867:Skin / Q000000981:diagnostic imaging / Q000473:pathology