Multi Modality State-of-the-Art Medical Image Segmentation...

Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies: Volume 1

Tian Shen, Shaoting Zhang, Junzhou Huang (auth.), Ayman S. El-Baz, Rajendra Acharya U, Majid Mirmehdi, Jasjit S. Suri (eds.)
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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.

Категории:
Година:
2011
Издание:
1
Издателство:
Springer US
Език:
english
Страници:
410
ISBN 10:
1441981942
ISBN 13:
9781441981943
Файл:
PDF, 10.76 MB
IPFS:
CID , CID Blake2b
english, 2011
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