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Artificial Intelligence in Diffusion MRI  - Enhanced Cuckoo Search Algorithm with Metaheuristic Components for Extracting the Maxima of the Orientation Distribution Function
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This book focuses on the use of artificial intelligence to address a specific problem in the brain ¿ the orientation distribution function. It discusses three aspects: (i) Preparing, enhancing and evaluating one of the cuckoo search algorithms (CSA); (ii) Describing the problem: Diffusion-weighted magnetic resonance imaging (DW-MRI) is used for non-invasive investigations of anatomical connectivity in the human brain, while Q-ball imaging (QBI) is a diffusion MRI reconstruction technique based on the orientation distribution function (ODF), which detects the dominant fiber orientations; however, ODF lacks local estimation accuracy along the path. (iii) Evaluating the performance of the CSA versions in solving the ODF problem using synthetic and real-world data. This book appeals to both postgraduates and researchers who are interested in the fields of medicine and computer science.
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ISBN | EAN:
3030360822 | 9783030360825
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Artificial Intelligence in Diffusion MRI  - Enhanced Cuckoo Search Algorithm with Metaheuristic Components for Extracting the Maxima of the Orientation Distribution Function

Artificial Intelligence in Diffusion MRI - Enhanced Cuckoo Search Algorithm with Metaheuristi…

von Mohammad Shehab Verlag: Springer

2019 Gebunden, 176 Seiten, 241mm x 160mm x 16mm, Sprache(n): eng Presents a new method of addressing the orientation distribution function (ODF) p… mehr lesen

Von: MARZIES Buch- und Medienhandel (Schönwalde-Glien, 🇩🇪 Deutschland)PayPal
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