{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,24]],"date-time":"2026-02-24T07:34:47Z","timestamp":1771918487114,"version":"3.50.1"},"reference-count":23,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2018,10,31]],"date-time":"2018-10-31T00:00:00Z","timestamp":1540944000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["International Wound Journal"],"published-print":{"date-parts":[[2019,2]]},"abstract":"<jats:p>Automated tracking of wound\u2010healing progress using images from smartphones can be useful and convenient for the patient to perform at home. To evaluate the feasibility, 119 images were taken with an iPhone smartphone during the treatment of a chronic wound at one patient's home. An image analysis algorithm was developed to quantitatively classify wound content as an index of wound healing. The core of the algorithm involves transforming the colour image into hue\u2010saturation\u2010value colour space, after which a threshold can be reliably applied to produce segmentation using the Black\u2010Yellow\u2010Red wound model. Morphological transforms are used to refine the classification. This method was found to be accurate and robust with respect to lighting conditions for smartphone\u2010captured photos. The wound composition percentage showed a different trend from the wound area measurements, suggesting its role as a complementary metric. Overall, smartphone photography and automated image analysis is a promising cost\u2010effective way of monitoring patients. While the current setup limits our capability of measuring wound area, future smartphones equipped with depth\u2010sensing technology will enable accurate volumetric evaluation in addition to composition analysis.<\/jats:p>","DOI":"10.1111\/iwj.13011","type":"journal-article","created":{"date-parts":[[2018,10,31]],"date-time":"2018-10-31T13:46:32Z","timestamp":1540993592000},"page":"211-218","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Towards algorithm\u2010enabled home wound monitoring with smartphone photography: A hue\u2010saturation\u2010value colour space thresholding technique for wound content tracking"],"prefix":"10.1111","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5690-2394","authenticated-orcid":false,"given":"Runjie B.","family":"Shi","sequence":"first","affiliation":[{"name":"Institute of Biomaterials and Biomedical Engineering (IBBME) University of Toronto  Toronto Ontario Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jimmy","family":"Qiu","sequence":"additional","affiliation":[{"name":"TECHNA Institute University Health Network  Toronto Ontario Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vincent","family":"Maida","sequence":"additional","affiliation":[{"name":"Palliative Medicine William Osler Health System  Toronto Ontario Canada"},{"name":"Division of Palliative Medicine, University of Toronto  Toronto Ontario Canada"},{"name":"Michael G DeGroote School of Medicine McMaster University  Hamilton Ontario Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2018,10,31]]},"reference":[{"key":"e_1_2_7_2_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1524-475X.2006.00176.x"},{"key":"e_1_2_7_3_1","doi-asserted-by":"publisher","DOI":"10.1258\/135763306777978407"},{"key":"e_1_2_7_4_1","doi-asserted-by":"publisher","DOI":"10.1001\/archderm.141.2.254"},{"key":"e_1_2_7_5_1","doi-asserted-by":"publisher","DOI":"10.1097\/01.ASW.0000358638.38161.6b"},{"key":"e_1_2_7_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/MIAR.2001.930300"},{"key":"e_1_2_7_7_1","first-page":"2415","volume-title":"2015 37th Annu Int Conf IEEE Eng Med Biol Soc","author":"Wang C","year":"2015"},{"key":"e_1_2_7_8_1","first-page":"e18","article-title":"A comparison of wound area measurement techniques: visitrak versus photography","volume":"11","author":"Chang AC","year":"2011","journal-title":"Eplasty"},{"key":"e_1_2_7_9_1","doi-asserted-by":"publisher","DOI":"10.1002\/rcs.408"},{"key":"e_1_2_7_10_1","first-page":"459","volume-title":"[1988 Proceedings] 9th International Conference on Pattern Recognition","author":"Arnqvist J"},{"issue":"3","key":"e_1_2_7_11_1","first-page":"337","article-title":"A noncontact wound measurement system","volume":"39","author":"Krouskop TA","year":"2002","journal-title":"J Rehabil Res Dev"},{"key":"e_1_2_7_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/0738-081X(95)00071-M"},{"key":"e_1_2_7_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/42.552057"},{"key":"e_1_2_7_14_1","doi-asserted-by":"crossref","unstructured":"HoppeA WertheimD MelhuishJ MorrisH HardingKG WilliamsRJ. 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