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基于重建的方法用于胸部X射线图像细分和增强的多标签胸部疾病分类

Aya Hage Chehade1, Nassib Abdallah2, Jean-Marie Marion1

  • 1LARIS, University of Angers, France.

Artificial intelligence in medicine
|April 29, 2025
PubMed
概括

这项研究引入了一种新的CycleGAN方法,用于精确的医学图像细分,改善胸部X射线中病态区域的识别. 该方法提高了疾病分类的准确性,超过了以前的研究.

关键词:
胸部X射线14数据集循环GANAN是一个循环.功能工程的特点工程.图像的分类图像的分类.图像处理 图像处理机器学习是机器学习.无线电学 (Radiomics) 是一种无线电学.分段化 分段化 分段化 分段化

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Radiological investigations, including X-rays and computed tomography (CT) scans, are critical for diagnosing and evaluating various medical conditions. These imaging techniques provide valuable insights into the body's internal structures, aiding in the detection of abnormalities, assessment of disease progression, and development of treatment strategies. This article delves into two primary radiological investigations, chest X-rays and CT scans, outlining their purpose, procedures, and...
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