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    Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/103074


    Title: The feasibility of using manual segmentation in a multifeature computer-aided diagnosis system for classification of skin lesions: a retrospective comparative study
    Authors: 黃輝揚;Chang, Wen-Yu;Huang, Adam;Chen, Yin-Chun;Lin, Chi-Wei;Tsai, John;Yang, Chung-Kai;Huang, Yin-Tseng;Wu, Yi-Fan;Chen, Gwo-Shing
    Contributors: 生醫理工學院生醫科學與工程學系
    Keywords: Adult;Aged;Agreements;Algorithms;Biopsy;Classification;Decision Support Techniques;Dermatology;Diagnosis, Differential;Family physicians;Feasibility Studies;Female;Humans;Image Interpretation, Computer-Assisted - methods;Male;Melanoma;Methods;Middle Aged;Observer Variation;Performance evaluation;Photography;Retrospective Studies;ROC Curve;Sensitivity and Specificity;Skin cancer;Skin Diseases - diagnosis;Skin Neoplasms - diagnosis;Software;Subjectivity
    Date: 2015-01-01
    Issue Date: 2026-04-23 11:22:44 (UTC+8)
    Publisher: BMJ Publishing Group;England: BMJ
    Abstract: 摘要: Objectives To investigate the feasibility of manual segmentation by users of different backgrounds in a previously developed multifeature computer-aided diagnosis (CADx) system to classify melanocytic and non-melanocytic skin lesions based on conventional digital photographic images. Methods In total, 347 conventional photographs of melanocytic and non-melanocytic skin lesions were retrospectively reviewed, and manually segmented by two groups of physicians, dermatologists and general practitioners, as well as by an automated segmentation software program, JSEG. The performance of CADx based on inputs from these two groups of physicians and that of the JSEG program was compared using feature agreement analysis. Results The estimated area under the receiver operating characteristic curve for classification of benign or malignant skin lesions based were comparable on individual segmentation by the gold standard (0.893, 95% CI 0.856 to 0.930), dermatologists (0.886, 95% CI 0.863 to 0.908), general practitioners (0.883, 95% CI 0.864 to 0.903) and JSEG (0.856, 95% CI 0.812 to 0.899). The agreement in the malignancy probability scores among the physicians was excellent (intraclass correlation coefficient: 0.91). By selecting an optimal cut-off value of malignancy probability score, the sensitivity and specificity were 80.07% and 81.47% for dermatologists and 79.90% and 80.20% for general practitioners. Conclusions This study suggests that manual segmentation by general practitioners is feasible in the described CADx system for classifying benign and malignant skin lesions.
    其他題名: BMJ Open
    出版者: England: BMJ
    出版日期: 2015-05
    出處: BMJ Open, 2015-05, Vol.5 (4), p.e-e007823
    資源來源: Publicly Available Content Database
    版權: Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions
    版權: Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.
    版權: Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions 2015 This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
    版權: Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions 2015
    識別號: ISSN: 2044-6055
    識別號: EISSN: 2044-6055
    識別號: DOI: 10.1136/bmjopen-2015-007823
    識別號: PMID: 25941190
    Appears in Collections:[Department of Biomedical Sciences and Engineering ] journal & Dissertation

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