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โœฆ   LIBER   โœฆ

Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies || Medical Image Registration

โœ Scribed by El-Baz, Ayman S.; Acharya U, Rajendra; Laine, Andrew F.; Suri, Jasjit S.

Book ID
121709524
Publisher
Springer New York
Year
2011
Tongue
English
Weight
538 KB
Edition
2011
Category
Article
ISBN
1441982043

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โœฆ Synopsis

With the advances in image guided surgery for cancer treatment, the role of image segmentation and registration has become very critical. The central engine of any image guided surgery product is its ability to quantify the organ or segment the organ whether it is a magnetic resonance imaging (MRI) and computed tomography (CT), X-ray, PET, SPECT, Ultrasound, and Molecular imaging modality. Sophisticated segmentation algorithms can help the physicians delineate better the anatomical structures present in the input images, enhance the accuracy of medical diagnosis and facilitate the best treatment planning system designs. The focus of this book in towards the state of the art techniques in the area of image segmentation and registration.

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Multi Modality State-of-the-Art Medical
Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies || Classification of Breast Mass in Mammography with an Improved Level Set Segmentation by Combining Morphological Features and Texture Features
โœ El-Baz, Ayman S.; Acharya U, Rajendra; Laine, Andrew F.; Suri, Jasjit S. ๐Ÿ“‚ Article ๐Ÿ“… 2011 ๐Ÿ› Springer New York ๐ŸŒ English โš– 312 KB

With the advances in image guided surgery for cancer treatment, the role of image segmentation and registration has become very critical. The central engine of any image guided surgery product is its ability to quantify the organ or segment the organ whether it is a magnetic resonance imaging (MRI)