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Updated: Jul 6, 2026

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
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基于频率的边界引导注意网络,用于从结肠镜图像中进行域概括的多片细分

Ju-Hyeon Nam1, Sang-Chul Lee1

  • 1Inha University, 100, Inha-ro Incheon, 222112, Michuhol-gu, Republic of Korea.

Artificial intelligence in medicine
|November 14, 2025
PubMed
概括

这项研究介绍了FBGANet,FBGANet是一个用于结肠镜图像中精确分片的新型网络. 它通过保留边界细节,提高诊断准确度,在各种临床环境中改善了多体检测.

关键词:
深度学习是一种深度学习.频率域是一个频率域.医学计算机视觉 医学计算机视觉聚的图像细分方法

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Imaging Studies III: Gastrointestinal Motility Studies and Virtual Colonoscopy01:26

Imaging Studies III: Gastrointestinal Motility Studies and Virtual Colonoscopy

This lesson explores three gastrointestinal imaging techniques: radionuclide testing, colonic transit studies, and virtual colonoscopy.
Radionuclide Testing
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 solid...