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Updated: Jul 21, 2025

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
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GIT-Net:一个集体基于深度学习的内镜图像的肠道管道分类

Hemalatha Gunasekaran1, Krishnamoorthi Ramalakshmi2, Deepa Kanmani Swaminathan3

  • 1Information Technology, University of Technology and Applied Sciences, Ibri 516, Oman.

Bioengineering (Basel, Switzerland)
|July 29, 2023
PubMed
概括

本研究介绍了GIT-NET,这是一个加权平均整体模型,用于从内镜图像中分类胃肠道 (GI) 疾病. GIT-NET模型实现了95.00%的准确性,优于单个模型,并提高了诊断准确性.

关键词:
基础学习者 基础学习者深度学习是一种深度学习.组合学习组合学习胃肠道的胃肠道是什么转移学习转移学习

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