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Metaheuristic - Based Deep Learning for Medical Image Segmentation

By Mohammed Khouy

Metaheuristic - Based Deep Learning for Medical Image Segmentation Computer Science

Metaheuristic - Based Deep Learning for Medical Image Segmentation

0 - Default Title
Description
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.
Product details
Binding:
Paperback
Number of Pages:
132
Release Date:
2025-04-29
Publication Date:
2025-04-29
Publisher:
LAP LAMBERT Academic Publishing
Languages:
Original: English
ISBN10:
620844179X
ISBN13:
9786208441791
GPSR Manufacturer Reference:
[email protected]
Weight:
215 g
Height:
150 cm
Width:
220 cm
Thickness:
8 cm
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