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Updated: Jun 7, 2025

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
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通过使用EfficientNet和先进的数据增强技术,通过深度学习增强基于图像的胃肠道疾病诊断

A M J Md Zubair Rahman1, R Mythili2, K Chokkanathan3

  • 1Al-Ameen Engineering College (Autonomous), Karundevanpalayam, Nanjai Uthukuli (P.O), Erode, 638104, India.

BMC medical imaging
|November 13, 2024
PubMed
概括

这项研究引入了一种先进的深度学习模型,用于早期检测胃肠道疾病. EfficientNetB5模型实现了98.89%的准确性,比传统方法改善了诊断.

关键词:
自动分类的自动化分类.数据增强数据增强深度学习是一种深度学习.诊断的准确性 诊断的准确性有效的网络有效的网络消化道炎 消化道炎胃肠道疾病 胃肠道疾病一般化 一般化 一般化图像增强 图像增强 图像增强机器学习 机器学习医学成像医学成像过度装配 过度装配 过度装配聚类是多重体的一个组成部分.转移学习转移学习性结肠炎是一种

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This lesson explores three gastrointestinal imaging techniques: radionuclide testing, colonic transit studies, and virtual colonoscopy.
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Radionuclide testing is a sophisticated medical technique for assessing gastrointestinal motility. It focuses on gastric emptying and colonic transit time. Radioactive markers track the movement of food through the digestive system, providing insights into gastrointestinal disorders.
In gastric emptying studies, a meal's liquid and...
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