Accelerating biomedical image segmentation using equilibrium optimization with a deep learning approach

Accelerating biomedical image segmentation using equilibrium optimization with a deep learning approach

Biomedical image segmentation is a vital task in the analysis of medical imaging, including the detection and delineation of pathological regions or anatomical structures within medical images. It has played a pivotal role in a variety of medical applications, involving diagnoses, monitoring of dise...

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Bibliographic Details
Main Authors: Eman A. Al-Shahari, Marwa Obayya, Faiz Abdullah Alotaibi, Safa Alsafari, Ahmed S. Salama, Mohammed Assiri
Format: Article
Language:English
Published: AIMS Press 2024-01-01
Series:AIMS Mathematics
Subjects:
image processing
biomedical image segmentation
computer vision
deep learning
equilibrium optimizer
Online Access:https://www.aimspress.com/article/doi/10.3934/math.2024288?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/math.2024288?viewType=HTML

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