{"publication_status":"published","year":"2015","_id":"11575","intvolume":"       216","date_updated":"2024-07-18T13:45:10Z","pmid":"1","date_created":"2024-06-24T07:36:14Z","language":[{"iso":"eng"}],"title":"PIACS: A System for the Automatic Detection, Categorization and Comparison of Scratch-Related Skin Lesions in Dermatology.","citation":{"havard":"P. Bruland, W. Hänse, F. Schedel, S. Ständer, F. Fritz, PIACS: A System for the Automatic Detection, Categorization and Comparison of Scratch-Related Skin Lesions in Dermatology., Studies in Health Technology and Informatics. 216 (2015) 1042.","chicago":"Bruland, Philipp, Waldemar Hänse, Fiona Schedel, Sonja Ständer, and Fleur Fritz. “PIACS: A System for the Automatic Detection, Categorization and Comparison of Scratch-Related Skin Lesions in Dermatology.” <i>Studies in Health Technology and Informatics</i> 216 (2015): 1042.","short":"P. Bruland, W. Hänse, F. Schedel, S. Ständer, F. Fritz, Studies in Health Technology and Informatics 216 (2015) 1042.","bjps":"<b>Bruland P <i>et al.</i></b> (2015) PIACS: A System for the Automatic Detection, Categorization and Comparison of Scratch-Related Skin Lesions in Dermatology. <i>Studies in health technology and informatics</i> <b>216</b>, 1042.","apa":"Bruland, P., Hänse, W., Schedel, F., Ständer, S., &#38; Fritz, F. (2015). PIACS: A System for the Automatic Detection, Categorization and Comparison of Scratch-Related Skin Lesions in Dermatology. <i>Studies in Health Technology and Informatics</i>, <i>216</i>, 1042.","ufg":"<b>Bruland, Philipp u. a.</b>: PIACS: A System for the Automatic Detection, Categorization and Comparison of Scratch-Related Skin Lesions in Dermatology., in: <i>Studies in health technology and informatics</i> 216 (2015),  S. 1042.","mla":"Bruland, Philipp, et al. “PIACS: A System for the Automatic Detection, Categorization and Comparison of Scratch-Related Skin Lesions in Dermatology.” <i>Studies in Health Technology and Informatics</i>, vol. 216, 2015, p. 1042.","ieee":"P. Bruland, W. Hänse, F. Schedel, S. Ständer, and F. Fritz, “PIACS: A System for the Automatic Detection, Categorization and Comparison of Scratch-Related Skin Lesions in Dermatology.,” <i>Studies in health technology and informatics</i>, vol. 216, p. 1042, 2015.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Bruland, Philipp</span> ; <span style=\"font-variant:small-caps;\">Hänse, Waldemar</span> ; <span style=\"font-variant:small-caps;\">Schedel, Fiona</span> ; <span style=\"font-variant:small-caps;\">Ständer, Sonja</span> ; <span style=\"font-variant:small-caps;\">Fritz, Fleur</span>: PIACS: A System for the Automatic Detection, Categorization and Comparison of Scratch-Related Skin Lesions in Dermatology. In: <i>Studies in health technology and informatics</i> Bd. 216, IOS Press (2015), S. 1042","ama":"Bruland P, Hänse W, Schedel F, Ständer S, Fritz F. PIACS: A System for the Automatic Detection, Categorization and Comparison of Scratch-Related Skin Lesions in Dermatology. <i>Studies in health technology and informatics</i>. 2015;216:1042.","van":"Bruland P, Hänse W, Schedel F, Ständer S, Fritz F. PIACS: A System for the Automatic Detection, Categorization and Comparison of Scratch-Related Skin Lesions in Dermatology. Studies in health technology and informatics. 2015;216:1042.","chicago-de":"Bruland, Philipp, Waldemar Hänse, Fiona Schedel, Sonja Ständer und Fleur Fritz. 2015. PIACS: A System for the Automatic Detection, Categorization and Comparison of Scratch-Related Skin Lesions in Dermatology. <i>Studies in health technology and informatics</i> 216: 1042."},"type":"journal_article","status":"public","publication":"Studies in health technology and informatics","publication_identifier":{"eissn":["1879-8365"],"issn":["0926-9630"]},"abstract":[{"lang":"eng","text":"In the treatment of chronic pruritus-related, scratch-induced skin lesions the categorization, counting and temporal comparison are common methodologies. The observation requires a good memory and expertise in this field to gain comparable findings for this time-consuming process. Digital image processing aims at supporting such manual detections. The objective is to develop a software tool for automatic image detection and comparison. The new photographic setting implies the usage of markers to derive the brightness and size of lesions. MATLAB has been used for the software development. The newly defined setting allows taking standardized images of pruritus-associated cutaneous lesions for detection and comparison. The tool named PIACS (Prurigo Image Analyzing and Comparing System) allows automatically detecting, categorizing and comparing lesions based on digital images."}],"external_id":{"pmid":["26262341"]},"volume":216,"user_id":"83781","publisher":"IOS Press","page":"1042","department":[{"_id":"DEP5024"}],"author":[{"last_name":"Bruland","first_name":"Philipp","id":"75847","orcid":"0000-0001-6939-7630","full_name":"Bruland, Philipp"},{"full_name":"Hänse, Waldemar","last_name":"Hänse","first_name":"Waldemar"},{"full_name":"Schedel, Fiona","first_name":"Fiona","last_name":"Schedel"},{"full_name":"Ständer, Sonja","first_name":"Sonja","last_name":"Ständer"},{"first_name":"Fleur","last_name":"Fritz","full_name":"Fritz, Fleur"}]}