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Updated: Sep 9, 2025

Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function
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Published on: April 12, 2024

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一个统一的深度学习框架,用于在胸部X射线图中定位和分类关节疾病

K Divya Reddy1, Anitha Patil2

  • 1Research Scholar, Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Aziz Nagar, Hyderabad, Telangana, 500075, India. divya.kotla@outlook.com.

Scientific reports
|August 31, 2025
PubMed
概括

这项研究引入了CXR-MultiTaskNet,这是一个统一的深度学习框架,用于准确的胸部X射线疾病分类和病变定位. 它提高了临床解释性,并有效处理多标签疾病.

关键词:
胸部X射线分析疾病分类可解释的深度学习损伤的局部多任务学习

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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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