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(Ebook) Level Set Method in Medical Imaging Segmentation by Ayman El-Baz (Editor); Jasjit S. Suri (Editor) ISBN 9781138553453, 9781315148595, 9781351373012, 9781351373029, 9781351373036, 113855345X, 1315148595, 1351373013, 1351373021

  • SKU: EBN-12053960
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Instant download (eBook) Level Set Method in Medical Imaging Segmentation after payment.
Authors:Ayman El-Baz (Editor); Jasjit S. Suri (Editor)
Year:2019
Editon:1
Publisher:CRC Press
Language:english
File Size:13.59 MB
Format:pdf
ISBNS:9781138553453, 9781315148595, 9781351373012, 9781351373029, 9781351373036, 113855345X, 1315148595, 1351373013, 1351373021
Categories: Ebooks

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(Ebook) Level Set Method in Medical Imaging Segmentation by Ayman El-Baz (Editor); Jasjit S. Suri (Editor) ISBN 9781138553453, 9781315148595, 9781351373012, 9781351373029, 9781351373036, 113855345X, 1315148595, 1351373013, 1351373021

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.
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