کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
378050 658871 2007 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Towards an intelligent medical system for the aesthetic evaluation of breast cancer conservative treatment
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Towards an intelligent medical system for the aesthetic evaluation of breast cancer conservative treatment
چکیده انگلیسی

SummaryObjectiveThis work presents a novel approach for the automated prediction of the aesthetic result of breast cancer conservative treatment (BCCT). Cosmetic assessment plays a major role in the study of BCCT. Objective assessment methods are being preferred to overcome the drawbacks of subjective evaluation.MethodologyThe problem is addressed as a pattern recognition task. A dataset of images of patients was classified in four classes (excellent, good, fair, poor) by a panel of international experts, providing a gold standard classification. As possible types of objective features we considered those already identified by domain experts as relevant to the aesthetic evaluation of the surgical procedure, namely those assessing breast asymmetry, skin colour difference and scar visibility. A classifier based on support vector machines was developed from objective features extracted from the reference dataset.ResultsA correct classification rate of about 70% was obtained when categorizing a set of unseen images into the aforementioned four classes. This accuracy is comparable with the result of the best evaluator from the panel of experts.ConclusionThe results obtained are rather encouraging and the developed tool could be very helpful in assuring objective assessment of the aesthetic outcome of BCCT.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Artificial Intelligence in Medicine - Volume 40, Issue 2, June 2007, Pages 115–126
نویسندگان
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