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Updated: Mar 6, 2026

Machine Learning-Based Cough Tone Classification: Diagnostic Exploration of Chronic Obstructive Pulmonary Disease and Respiratory Tract Infections
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PulmoClass-3DAtt:一个自我注意网络,用于COPD,PRISM和正常的分类

Qian Wu1, Ruihan Li1, Hui Guo1

  • 1Department of Medical Imaging Center, The Fourth Clinical Medical College of Xinjiang Medical University, Urumqi, Xinjiang, People's Republic of China.

International journal of chronic obstructive pulmonary disease
|March 5, 2026
PubMed
概括

一个新的深度学习模型,PulmoClass-3DAtt,使用CT扫描和临床数据,准确地区分慢性阻塞性肺病 (COPD) 与保留比例受损螺旋计 (PRISm) 和正常肺功能.

关键词:
胸部CT CT 胸部CT CT 胸部CT 胸部CT慢性阻塞性肺病 慢性阻塞性肺病深度学习是一种深度学习.保持比率受损的螺旋计学受损的螺旋计自己注意力自我注意力变压器变压器变压器变压器

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