کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
531459 869844 2009 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A novel soft cluster neural network for the classification of suspicious areas in digital mammograms
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
A novel soft cluster neural network for the classification of suspicious areas in digital mammograms
چکیده انگلیسی

This paper presents a novel soft cluster neural network technique for the classification of suspicious areas in digital mammograms. The technique introduces the concept of soft clusters within a neural network layer and combines them with least squares for optimising neural network weights. The idea of soft clusters is proposed in order to increase the generalisation ability of the neural network by providing a mechanism to more aptly depict the relationship between the input features and the subsequent classification as either a benign or malignant class. Soft clusters with least squares make the training process faster and avoid iterative processes which have many problems. The proposed neural network technique has been tested on the DDSM benchmark database. The results are analysed and discussed in this paper.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition - Volume 42, Issue 9, September 2009, Pages 1845–1852
نویسندگان
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