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Updated: Jun 12, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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在FDG-PET/CT成像中对TNM肺癌进行T分类的先进人工智能框架

Mariem Trabelsi1, Hamida Romdhane1, Lotfi Ben Salem2

  • 1University of Tunis El Manar, Laboratory of Biophysics and Medical Technology, Higher Institute of Medical Technologies, 1006 Tunis, Tunisia.

Biomedical physics & engineering express
|October 12, 2024
PubMed
概括

这项研究引入了人工智能框架,用于使用PET/CT扫描进行自动肺瘤细分和T分类,从而改善肺癌的分期和治疗计划.

关键词:
18FDG-PET/CT成像成像技术这就是ResNet-50的特点.在TNM分类中,TNM分类是:深度学习是一种深度学习.肺癌是一种肺癌.肺部疾病工具箱瘤细分 瘤细分

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Positron Emission Tomography01:29

Positron Emission Tomography

Positron emission tomography (PET) is a medical imaging technique involving radiopharmaceuticals — substances that emit short-lived radiation. Although the first PET scanner was introduced in 1961, it took 15 more years before radiopharmaceuticals were combined with the technique and revolutionized its potential.
One of the main requirements of a PET scan is a positron-emitting radioisotope, which is produced in a cyclotron and then attached to a substance used by the part of the body being...