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
✍ Scribed by El-Baz, Ayman S.; Acharya U, Rajendra; Laine, Andrew F.; Suri, Jasjit S.
- Book ID
- 121367017
- Publisher
- Springer New York
- Year
- 2011
- Tongue
- English
- Weight
- 312 KB
- Edition
- 2011
- Category
- Article
- ISBN
- 1441982043
No coin nor oath required. For personal study only.
✦ 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.