{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,27]],"date-time":"2025-09-27T04:13:55Z","timestamp":1758946435822},"reference-count":21,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2012,10,1]],"date-time":"2012-10-01T00:00:00Z","timestamp":1349049600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Skin Research and Technology"],"published-print":{"date-parts":[[2013,2]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Introduction<\/jats:title><jats:p>In clinical dermatology, the stabilization of the overall skin condition can be in many cases the earliest qualitative measure of the effectiveness of the therapeutic intervention. Subjective image comparisons, that offer empirical \u2018qualitative\u2019 judgments of degrees of image similarities, are traditionally employed by the involved physicians.<\/jats:p><\/jats:sec><jats:sec><jats:title>Objectives<\/jats:title><jats:p>To quantify, by means of an image similarity metric, the degree of stabilization of an expanding skin disease, and to identify the situation of \u2018no further change\u2019 of the skin condition of the patient, providing thus the physician with an early, objective measure of the efficacy of the used therapy.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>For treatment assessment, a variant of gray Hausdorff distance metric was employed to compare images of lesional skin segments of a patient, taken at different time points during a therapeutic course. Prior to image comparison, an effective preprocessing scheme was adapted to constrain wide pose and light variations. The proposed similarity algorithm was tested on raw clinical image data sets of patients diagnosed with toxic epidermal necrolysis, a life\u2010threatening condition with rapid evolution. Fine tuning of algorithm's parameters was optimized using Precision\u2010Recall curves.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Proposed image comparison method resulted in a high\u2010degree of image similarity (about 96%) between pictures taken at second and fifth day of hospitalization. Current similarity results substantiate a significant agreement between the computer\u2010treatment assessment, by means of image comparison, and the corresponding clinical experts\u2019 review of skin condition.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>Objective evidence of \u2018no further change\u2019 situation may provide (a) intuitive clinical decision support to dermatologists in assessing aggressive skin conditions, where the timely evaluation of treatment response is of vital importance and (b) a versatile end\u2010point measure for corresponding therapeutic clinical trials.<\/jats:p><\/jats:sec>","DOI":"10.1111\/srt.12001","type":"journal-article","created":{"date-parts":[[2012,10,1]],"date-time":"2012-10-01T07:01:53Z","timestamp":1349074913000},"source":"Crossref","is-referenced-by-count":8,"title":["Gray Hausdorff distance measure for medical image comparison in dermatology: Evaluation of treatment effectiveness by image similarity"],"prefix":"10.1111","volume":"19","author":[{"given":"Panagiota","family":"Spyridonos","sequence":"first","affiliation":[{"name":"Department of Medical Physics University of Ioannina Medical School University Campus Ioannina Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Georgios","family":"Gaitanis","sequence":"additional","affiliation":[{"name":"Department of Skin and Venereal Diseases University of Ioannina Medical School University Campus Ioannina Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ioannis D.","family":"Bassukas","sequence":"additional","affiliation":[{"name":"Department of Skin and Venereal Diseases University of Ioannina Medical School University Campus Ioannina Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Margaret","family":"Tzaphlidou","sequence":"additional","affiliation":[{"name":"Department of Medical Physics University of Ioannina Medical School University Campus Ioannina Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2012,10]]},"reference":[{"key":"e_1_2_6_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0262-8856(03)00137-9"},{"key":"e_1_2_6_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-11769-5_3"},{"key":"e_1_2_6_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijmedinf.2003.11.024"},{"key":"e_1_2_6_5_1","first-page":"1230","article-title":"Color image processing and content\u2010based image retrieval techniques for the analysis of dermatological lesions","volume":"2008","author":"Dorileo EAG","year":"2008","journal-title":"Conf Proc IEEE Eng Med Biol Soc"},{"key":"e_1_2_6_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/CBMS.2006.98"},{"key":"e_1_2_6_7_1","first-page":"2152","article-title":"A graph\u2010based approach to skin mole matching incorporating template\u2010normalized coordinates","volume":"2009","author":"Mirzaalian H","year":"2009","journal-title":"Proceedings of IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"e_1_2_6_8_1","first-page":"1163","article-title":"A New Hybrid Technique for Dermatological Image Registration","volume":"2007","author":"Huang H","year":"2007","journal-title":"Proceedings of IEEE 7th International Conference on Bioinformatics and Bioengineering (BIBE 2007)"},{"key":"e_1_2_6_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.1998.711152"},{"key":"e_1_2_6_10_1","first-page":"3","article-title":"Genetic Recognition of Changes in Melanocytic Lesions","volume":"2004","author":"Popa R","year":"2004","journal-title":"Proceedings of 8th International Symposium on Automatic Control and Computer Science (SACCS 2004)"},{"key":"e_1_2_6_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/1348246.1348248"},{"key":"e_1_2_6_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/34.232073"},{"key":"e_1_2_6_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2006.879294"},{"key":"e_1_2_6_14_1","first-page":"1623","article-title":"Hausdorff distance for template detection and efficient implementation on embedded systems","volume":"2010","author":"Petracca G","year":"2010","journal-title":"Proceedings of IEEE International Symposium on Industrial Electronics. 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