A deep learning approach for automated diagnosis of pulmonary embolism on computed tomographic pulmonary angiography
Abstract Background Computed tomographic pulmonary angiography (CTPA) is the diagnostic standard for confirming pulmonary embolism (PE).Since PE is a life-threatening condition, early diagnosis and treatment are critical to avoid PE-associated morbidity and mortality.However, PE remains subject to misdiagnosis.Methods We retrospectively identified