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

EAN (ISBN-13): 9781441981943
ISBN (ISBN-10): 1441981942
Livro de capa dura
Ano de publicação: 2011
Editor/Editora: El-Baz, Ayman S. Acharya U, Rajendra, Mirmehdi, Majid, Suri, Jasjit S. Springer
650 Páginas
Peso: 0,852 kg
Língua: eng/Englisch

Livro na base de dados desde 2008-04-15T15:24:24-03:00 (Sao Paulo)
Página de detalhes modificada pela última vez em 2023-07-24T06:46:13-03:00 (Sao Paulo)
Número ISBN/EAN: 1441981942

Número ISBN - Ortografia alternativa:
1-4419-8194-2, 978-1-4419-8194-3
Ortografia alternativa e termos de pesquisa relacionados:
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Dados da editora

Autor: Ayman S. El-Baz; Rajendra Acharya U; Majid Mirmehdi; Jasjit S. Suri
Título: Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies - Volume 1
Editora: Springer; Springer US
410 Páginas
Ano de publicação: 2011-05-19
New York; NY; US
Língua: Inglês
213,99 € (DE)
219,99 € (AT)
236,00 CHF (CH)
Available
XII, 410 p.

BB; Hardcover, Softcover / Medizin/Nichtklinische Fächer; Medizinische Forschung; Verstehen; Biomedical Research; Biomedical Engineering and Bioengineering; Computer Vision; Radiology; Biomedizinische Technik; Maschinelles Sehen, Bildverstehen; Bildgebende Verfahren; EA; BC

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.
3D Deformable models for medical imaging segmentation Covers skin, lung, brain and retinal cancers Ultrasound and MRI image registration Advanced techniques in brain segmentation and registration Includes supplementary material: sn.pub/extras