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IEICE Trans

Hamed AKBARI

Segmentation of Arteries in Minimally Invasive Surgery Using Change Detection
Hamed AKBARI Yukio KOSUGI Kazuyuki KOJIMA 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2009/03/01
Vol. E92-D  No. 3  pp. 498-505
Type of Manuscript:  PAPER
Category: Image Recognition, Computer Vision
Keyword: 
change detection, laparoscopy, minimally invasive surgery, artery segmentation, learning vector quantization, 
 Summary | Full Text:PDF