A DEEP LEARNING APPROACH FOR AUTOMATED DIAGNOSIS OF PULMONARY EMBOLISM ON COMPUTED TOMOGRAPHIC PULMONARY ANGIOGRAPHY

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

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The Nansen Legacy Template Generator for Darwin Core and CF-NetCDF

The scientific community is growing increasingly aware of the importance of the FAIR data management principles for publishing scientific data.For data providers, this includes creating machine-understandable file structures such as CF-NetCDF files and Darwin Core Archives.To support scientists in creating these, we present significant upgrades to

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