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01.03.2014 | 3DR Review

3D Texture Features Mining for MRI Brain Tumor Identification

verfasst von: Mohd Shafry Mohd Rahim, Tanzila Saba, Fatima Nayer, Afraz Zahra Syed

Erschienen in: 3D Research | Ausgabe 1/2014

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Abstract

Medical image segmentation is a process to extract region of interest and to divide an image into its individual meaningful, homogeneous components. Actually, these components will have a strong relationship with the objects of interest in an image. For computer-aided diagnosis and therapy process, medical image segmentation is an initial mandatory step. Medical image segmentation is a sophisticated and challenging task because of the sophisticated nature of the medical images. Indeed, successful medical image analysis heavily dependent on the segmentation accuracy. Texture is one of the major features to identify region of interests in an image or to classify an object. 2D textures features yields poor classification results. Hence, this paper represents 3D features extraction using texture analysis and SVM as segmentation technique in the testing methodologies.

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Titel: 3D Texture Features Mining for MRI Brain Tumor Identification
verfasst von: Mohd Shafry Mohd Rahim
Tanzila Saba
Fatima Nayer
Afraz Zahra Syed
Publikationsdatum: 01.03.2014
Verlag: Springer Berlin Heidelberg
Erschienen in: 3D Research / Ausgabe 1/2014
Elektronische ISSN: 2092-6731
DOI: https://doi.org/10.1007/s13319-013-0003-2

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