Orthogonal subspace projection-based approaches to classification of MR image sequences

Author:

Wang C.-M.,Yang S.-C.,Chung P.-C.,Chang C.-I,Lo C.-S.,Chen C.-C.,Yang C.-W.,Wen C.-H.

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference34 articles.

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3. Dhawan AP, Zavaljevski A, Sarwal A, Ball WS. A system for MR brain image segmentation. 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Amsterdam, 1996. p. 732–3.

4. Verard L, Fadili J, Ruan S, Daniel Bloyet D. 3D MRI segmentation of brain structures. 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Amsterdam, 1996. p. 1081–2.

5. Automated segmentation and classification of multispectral magnetic resonance images of brain using artificial neural networks;Reddick;IEEE Transactions on Medical Imaging,1997

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