دورية أكاديمية
أعرض في EDS

The UTrack framework for segmenting and measuring dermatological ulcers through telemedicine.

التفاصيل البيبلوغرافية
العنوان: The UTrack framework for segmenting and measuring dermatological ulcers through telemedicine.
المؤلفون: Cazzolato MT; Institute of Mathematics and Computer Science, University of São Paulo (USP), São Carlos, Brazil. Electronic address: mirelac@usp.br., Ramos JS; Institute of Mathematics and Computer Science, University of São Paulo (USP), São Carlos, Brazil., Rodrigues LS; Institute of Mathematics and Computer Science, University of São Paulo (USP), São Carlos, Brazil., Scabora LC; Institute of Mathematics and Computer Science, University of São Paulo (USP), São Carlos, Brazil., Chino DYT; InterlockLedger, São Paulo, Brazil., Jorge AES; Department of Physical Therapy, Federal University of São Carlos (UFSCar), São Carlos, Brazil., de Azevedo-Marques PM; Ribeirão Preto Medical School, University of São Paulo (USP), Ribeirão Preto, Brazil., Traina C Jr; Institute of Mathematics and Computer Science, University of São Paulo (USP), São Carlos, Brazil., Traina AJM; Institute of Mathematics and Computer Science, University of São Paulo (USP), São Carlos, Brazil. Electronic address: agma@icmc.usp.br.
المصدر: Computers in biology and medicine [Comput Biol Med] 2021 Jul; Vol. 134, pp. 104489. Date of Electronic Publication: 2021 May 13.
نوع المنشور: Journal Article; Research Support, Non-U.S. Gov't
اللغة: English
بيانات الدورية: Publisher: Elsevier Country of Publication: United States NLM ID: 1250250 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0534 (Electronic) Linking ISSN: 00104825 NLM ISO Abbreviation: Comput Biol Med Subsets: MEDLINE
أسماء مطبوعة: Publication: New York : Elsevier
Original Publication: New York, Pergamon Press.
مواضيع طبية MeSH: Mobile Applications* , Telemedicine*, Delivery of Health Care ; Humans ; Ulcer ; Wound Healing
مستخلص: Chronic dermatological ulcers cause great discomfort to patients, and while monitoring the size of wounds over time provides significant clues about the healing evolution and the clinical condition of patients, the lack of practical applications in existing studies impairs users' access to appropriate treatment and diagnosis methods. We propose the UTrack framework to help with the acquisition of photos, the segmentation and measurement of wounds, the storage of photos and symptoms, and the visualization of the evolution of ulcer healing. UTrack-App is a mobile app for the framework, which processes images taken by standard mobile device cameras without specialized equipment and stores all data locally. The user manually delineates the regions of the wound and the measurement object, and the tool uses the proposed UTrack-Seg segmentation method to segment them. UTrack-App also allows users to manually input a unit of measurement (centimeter or inch) in the image to improve the wound area estimation. Experiments show that UTrack-Seg outperforms its state-of-the-art competitors in ulcer segmentation tasks, improving F-Measure by up to 82.5% when compared to superpixel-based approaches and up to 19% when compared to Deep Learning ones. The method is unsupervised, and it semi-automatically segments real-world images with 0.9 of F-Measure, on average. The automatic measurement outperformed the manual process in three out of five different rulers. UTrack-App takes at most 30 s to perform all evaluation steps over high-resolution images, thus being well-suited to analyze ulcers using standard mobile devices.
(Copyright © 2021 Elsevier Ltd. All rights reserved.)
فهرسة مساهمة: Keywords: Dermatological ulcers; Image processing; Mobile; Segmentation; Telemedicine; Wound measurement; mHealth
تواريخ الأحداث: Date Created: 20210520 Date Completed: 20210726 Latest Revision: 20210726
رمز التحديث: 20231215
DOI: 10.1016/j.compbiomed.2021.104489
PMID: 34015672
قاعدة البيانات: MEDLINE
الوصف
تدمد:1879-0534
DOI:10.1016/j.compbiomed.2021.104489