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Level Set Method in Medical Imaging Segmentation.

Level Set Method in Medical Imaging Segmentation.

・ISBN 978-1-138-55345-3 hard GB£ 260.00

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お気に入り
電子版あり 大学・学術機関向け電子ブック(eBook)ISBN 9781315148595
著者・編者El-Baz, Ayman / Suri, Jasjit S. (eds.),
出版社 (CRC Press, UK)
出版年月2019
ページ数396 pp.
言語ENG
ニュース番号<A00-46532>

解説

Level set methods are numerical techniques which offer remarkably powerful tools for understanding, analyzing, and computing interface motion in a host of settings. When used for medical imaging analysis and segmentation, the function assigns a label to each pixel or voxel and optimality is defined based on desired imaging properties. This often includes a detection step to extract specific objects via segmentation. This allows for the segmentation and analysis problem to be formulated and solved in a principled way based on well-established mathematical theories. Level set method is a great tool for modeling time varying medical images and enhancement of numerical computations.