کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
870744 910017 2016 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Fully automated decision support systems for celiac disease diagnosis
ترجمه فارسی عنوان
سیستم های پشتیبانی کامل تصمیم گیری اتوماتیک برای تشخیص بیماری سلیاک
کلمات کلیدی
اندوسکوپی، تشخیص بیماری سلیاک، تشخیص کاملا اتوماتیک تصویربرداری پزشکی
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی پزشکی
چکیده انگلیسی

In most recent computer aided celiac disease diagnosis approaches, image regions (patches) showing discriminative features necessarily need to be manually extracted by the medical doctor, prior to the automated classification pipeline. However, although the obtained classification outcomes based on such semi-automated systems are attractive, a human interaction finally is undesired. In this work, fully automated approaches are investigated which are based on the measurement of several image quality properties. Firstly, we investigate a method based on optimization of single quality measures as well as an approach based on weighted combinations of these metrics. Furthermore, a weighted decision-level and a weighted feature-level fusion method are investigated which are not based on the selection of one single best patch, but on a weighted combination. In a large experimental setting, we evaluate these methods with respect to the achieved overall classification rates. Finally, especially the proposed feature-level fusion method supplies the best performances and comes close to manual experts' patch selection as far as the accuracy is concerned.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: IRBM - Volume 37, Issue 1, February 2016, Pages 31–39
نویسندگان
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