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Level Set Method in Medical Imaging Segmentation.
・ISBN 978-1-138-55345-3 hard GB£ 260.00
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| 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.