Lima, Gabriel Lenin SilvaPires, CarolinaBeuren, Arlete TeresinhaLopes, Rui Pedro2024-03-112024-03-112024Lima, Gabriel Lenin Silva; Pires, Carolina; Beuren, Arlete Teresinha; Lopes, Rui Pedro (2024). Deep learning in the identification of psoriatic skin lesions. In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications (CIARP). Cham: Springer. 14469, p. 298-313. ISBN 978-3-031-49017-0978-3-031-49017-0http://hdl.handle.net/10198/29601Psoriasis is a dermatological lesion that manifests in several regions of the body. Its late diagnosis can generate the aggravation of the disease itself, as well as of the comorbidities associated with it. The proposed work presents a computational system for image classification in smartphones, through deep convolutional neural networks, to assist the process of diagnosis of psoriasis. The dataset and the classification algorithms used revealed that the classification of psoriasis lesions was most accurate with unsegmented and unprocessed images, indicating that deep learning networks are able to do a good feature selection. Smaller models have a lower accuracy, although they are more adequate for environments with power and memory restrictions, such as smartphones.engImage processingDeep learningPsoriasis classificationMobile applicationconference paper10.1007/978-3-031-49018-7_22