Automatic landmark extraction from image data using modified growing neural gas network.

A new method for automatic landmark extraction from MR brain images is presented. In this method, landmark extraction is accomplished by modifying growing neural gas (GNG), which is a neural-network-based cluster-seeking algorithm. Using modified GNG (MGNG) corresponding dominant points of contours...

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書誌詳細

出版年:	IEEE Transactions on information technology in biomedicine 7, 2 (2003).
第一著者:	Fatemizadeh, E.
フォーマット:	論文
言語:	English
主題:	MR brain images. Teh-Chin algorithm. Automatic landmark extraction. Brain images. Dominant points. Modified growing neural gas. Multimodality. Neural-network-based cluster-seeking algorithm. Node splitting-merging Kohonen model. Registration. Segmented anatomical regions.