A multimodal metaheuristic-optimized deep learning framework for radiological image classification

Ehtesham Sultan

doi:10.1016/j.array.2026.101055

2026-07-03

Said Jadid Abdulkadir *

DOI：10.1016/j.array.2026.101055

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摘要

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• 提出了一种用于放射学图像分类的新型深度学习模型Covid_L3GBNet23。• 采用多模态元启发式优化方法（GA + BDA）进行有效的特征选择。• 该框架通过预训练和深度特征提取改善特征表示。• 所提出的方法优于传统分类器，包括SVM和KNN变体。• 该框架在可靠且自动化的医学图像诊断方面显示出巨大潜力。

Keyword:

Classification

Binary dragonfly algorithm

Genetic algorithm

COVID-19

CNN

Ultrasound

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