Sweat Droplets Detection Using Image Segmentation on Skin Surface for Evaluation of Sweating Responses to Thermal Stimulus in Atopic Dermatitis

Autor:	Yuki Hayashida, Ryuichi Michida, Tetsushi Koide, Seiji Izakura, Yumi Aoyama
Rok vydání:	2021
Předmět:	integumentary system Computer science technology industry and agriculture Atopic dermatitis Image segmentation medicine.disease Impression SWEAT chemistry.chemical_compound Silicone Thermal stimulation chemistry Skin surface medicine Biomedical engineering
Zdroj:	MWSCAS
DOI:	10.1109/mwscas47672.2021.9531894
Popis:	In this paper, we propose a method for automatically detecting sweat droplets from images taken by replicas of the silicone skin surface created by the Impression Mold Technique (IMT) to evaluate sweating responses to thermal stimulus in atopic dermatitis. The proposed method is a U-Net based image segmentation using deep learning. From experimental results, we succeeded in obtaining a result close to the expert’s manual identification result of sweat droplets.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::58420c3707e91ecad402d374acf3548e https://doi.org/10.1109/mwscas47672.2021.9531894 Zobrazit plný text záznamu