Metaheuristic - Based Deep Learning for Medical Image Segmentation: Theory and Applications - Brossura

Khouy, Mohammed; Jabrane, Younes; Ameur, Mustapha

 
9786208441791: Metaheuristic - Based Deep Learning for Medical Image Segmentation: Theory and Applications
Brossura
ISBN 10: 620844179X ISBN 13: 9786208441791
Casa editrice: LAP LAMBERT Academic Publishing, 2025

Sinossi

Image segmentation is a crucial aspect of clinical decision-making in the medical field. The integration of image segmentation techniques has dramatically enhanced healthcare delivery. Also, the advancement of deep learning, particularly Convolutional Neural Networks (CNNs), has brought about a significant transformation in medical image analysis. These advanced algorithms have shown exceptional abilities in identifying complex patterns and features in medical images, revolutionizing diagnostic imaging. However, the complexity and scale of these models present significant challenges. This requires a substantial amount of computational resources and expert knowledge for successful implementation. Addressing these challenges is crucial to fully exploit the potential of deep learning in the field of medical image segmentation. To address the challenges, this study combines metaheuristic optimization algorithms with deep learning. These algorithms, inspired by natural processes, provide an effective way to optimize the structure and parameters of CNNs, thus making the process of medical image segmentation more efficient.

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Editore
LAP LAMBERT Academic Publishing
Data di pubblicazione
2025
Lingua
Inglese
ISBN 10 
620844179X
ISBN 13 
9786208441791
Rilegatura
Copertina flessibile
Numero di pagine
132
Contatto del produttore
non disponibile
Persona responsabile
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