An explainable deep learning model to predict partial anomalous pulmonary venous connection for patients with atrial septal defect

• 主要な著者: Gang Luo (著者), Zhixin Li (著者), Zhixian Ji (著者), Sibao Wang (著者), Silin Pan (著者)
• フォーマット: 図書
• 出版事項: BMC, 2024-11-01T00:00:00Z.
• 主題: article
• オンライン･アクセス: Connect to this object online.

Abstract Background Patients with partial anomalous pulmonary venous connection (PAPVC) usually present asymptomatic and accompanied by intricate anatomical types, which results in missed diagnosis from atrial septal defect (ASD). The present study aimed to explore the predictive variables of PAPVC...