کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
445256 693164 2010 24 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A review of automatic mass detection and segmentation in mammographic images
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر گرافیک کامپیوتری و طراحی به کمک کامپیوتر
پیش نمایش صفحه اول مقاله
A review of automatic mass detection and segmentation in mammographic images
چکیده انگلیسی

The aim of this paper is to review existing approaches to the automatic detection and segmentation of masses in mammographic images, highlighting the key-points and main differences between the used strategies. The key objective is to point out the advantages and disadvantages of the various approaches. In contrast with other reviews which only describe and compare different approaches qualitatively, this review also provides a quantitative comparison. The performance of seven mass detection methods is compared using two different mammographic databases: a public digitised database and a local full-field digital database. The results are given in terms of Receiver Operating Characteristic (ROC) and Free-response Receiver Operating Characteristic (FROC) analysis.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Medical Image Analysis - Volume 14, Issue 2, April 2010, Pages 87–110
نویسندگان
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