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Updated: Jun 4, 2025

Deep Neural Networks for Image-Based Dietary Assessment
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使用Resnet50*基于可解释的深度特征工程模型与内镜图像的胃肠道疾病的自动检测

Veysel Yusuf Cambay1,2, Prabal Datta Barua3, Abdul Hafeez Baig4

  • 1Department of Digital Forensics Engineering, Technology Faculty, Firat University, Elazig 23119, Türkiye.

Sensors (Basel, Switzerland)
|December 17, 2024
PubMed
概括

一个新的ResNet50*模型有效地从内镜图像中检测出胃肠道疾病. 这种深度特征工程方法实现了超过92%的准确性,证明了其改善诊断的潜力.

关键词:
在ResNet50*上使用.结肠疾病的分类 结肠疾病的分类深度功能工程是什么多重代特征选择选择多重代特征选择

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