Application of active contour models in medical image segmentation

被引：30

作者：

Derraz, F ^{[1
]}

Beladgham, M ^{[1
]}

Khelif, M ^{[1
]}

机构：

[1] Abou Bekr Belkaid Univ, Dept Comp Sci, Tilimsen, Algeria

来源：

ITCC 2004: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY: CODING AND COMPUTING, VOL 2, PROCEEDINGS | 2004年

关键词：

D O I：

10.1109/ITCC.2004.1286732

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Recent developments on medical imaging techniques have brought a completely new research field on image processing. The principal aim is to improve medical diagnosis through segmented images. Techniques have been developed to help for identifying specific structures within a magnetic resonance image: MRJ. The Active Contour methods, these methods are adaptable to the desired features in the image, In our work, we describe two classes of active contour models and discussing application aspects in medical imaging area.

引用

页码：675 / 681

页数：7

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