{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T10:12:59Z","timestamp":1780481579212,"version":"3.54.1"},"reference-count":32,"publisher":"MDPI AG","issue":"19","license":[{"start":{"date-parts":[[2021,10,6]],"date-time":"2021-10-06T00:00:00Z","timestamp":1633478400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100005632","name":"National Centre for Research and Development","doi-asserted-by":"publisher","award":["POIR.04.01.04-00-0125\/18-00"],"award-info":[{"award-number":["POIR.04.01.04-00-0125\/18-00"]}],"id":[{"id":"10.13039\/501100005632","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Melanoma is one of the most lethal and rapidly growing cancers, causing many deaths each year. This cancer can be treated effectively if it is detected quickly. For this reason, many algorithms and systems have been developed to support automatic or semiautomatic detection of neoplastic skin lesions based on the analysis of optical images of individual moles. Recently, full-body systems have gained attention because they enable the analysis of the patient\u2019s entire body based on a set of photos. This paper presents a prototype of such a system, focusing mainly on assessing the effectiveness of algorithms developed for the detection and segmentation of lesions. Three detection algorithms (and their fusion) were analyzed, one implementing deep learning methods and two classic approaches, using local brightness distribution and a correlation method. For fusion of algorithms, detection sensitivity = 0.95 and precision = 0.94 were obtained. Moreover, the values of the selected geometric parameters of segmented lesions were calculated and compared for all algorithms. The obtained results showed a high accuracy of the evaluated parameters (error of area estimation &lt;10%), especially for lesions with dimensions greater than 3 mm, which are the most suspected of being neoplastic lesions.<\/jats:p>","DOI":"10.3390\/s21196639","type":"journal-article","created":{"date-parts":[[2021,10,10]],"date-time":"2021-10-10T21:37:49Z","timestamp":1633901869000},"page":"6639","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":34,"title":["Skin Lesion Detection Algorithms in Whole Body Images"],"prefix":"10.3390","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9102-4929","authenticated-orcid":false,"given":"Micha\u0142 H.","family":"Strzelecki","sequence":"first","affiliation":[{"name":"Institute of Electronics, Lodz University of Technology, \u017beromskiego 116, 90-924 \u0141\u00f3d\u017a, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maria","family":"Str\u0105kowska","sequence":"additional","affiliation":[{"name":"Institute of Electronics, Lodz University of Technology, \u017beromskiego 116, 90-924 \u0141\u00f3d\u017a, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7471-6413","authenticated-orcid":false,"given":"Micha\u0142","family":"Koz\u0142owski","sequence":"additional","affiliation":[{"name":"Institute of Electronics, Lodz University of Technology, \u017beromskiego 116, 90-924 \u0141\u00f3d\u017a, Poland"},{"name":"Department of Mechatronics and Technical and IT Education, Faculty of Technical Science, University of Warmia and Mazury, 11-041 Olsztyn, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9515-3426","authenticated-orcid":false,"given":"Tomasz","family":"Urba\u0144czyk","sequence":"additional","affiliation":[{"name":"Skopia Estetic Clinic, Josepha Conrada 79, 31-357 Krak\u00f3w, Poland"},{"name":"Smoluchowski Institute of Physics, Jagiellonian University, \u0141ojasiewicza 11, 30-348 Krak\u00f3w, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dorota","family":"Wielowieyska-Szybi\u0144ska","sequence":"additional","affiliation":[{"name":"Skopia Estetic Clinic, Josepha Conrada 79, 31-357 Krak\u00f3w, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4359-1539","authenticated-orcid":false,"given":"Marcin","family":"Kocio\u0142ek","sequence":"additional","affiliation":[{"name":"Institute of Electronics, Lodz University of Technology, \u017beromskiego 116, 90-924 \u0141\u00f3d\u017a, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2021,10,6]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"De Carvalho, T.M., Noels, E., Wakkee, M., Udrea, A., and Nijsten, T. 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