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Level Set Method in Medical Imaging Segmentation El-Baz, Ayman (University of Louisville, Kentucky, USA) 1. izdevums
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Level Set Method in Medical Imaging Segmentation
El-Baz, Ayman (University of Louisville, Kentucky, USA)
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.
396 pages, 18 Tables, black and white; 100 Illustrations, color; 39 Illustrations, black and white
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2019. gada 12. jūlijs |
| ISBN13 | 9781138553453 |
| Izdevēji | Taylor & Francis Ltd |
| Lapas | 396 |
| Izmēri | 240 × 163 × 27 mm · 778 g |
| Valoda | Angļu |
| Redaktors | El-Baz, Ayman (University of Louisville, Kentucky, USA) |
| Redaktors | Suri, Jasjit S. (Global Biomedical Technologies, Inc., Roseville, USA) |
