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...

Full description

Bibliographic Details
Main Authors: Pranav Ajmera, Amit Kharat, Jitesh Seth, Snehal Rathi, Richa Pant, Manish Gawali, Viraj Kulkarni, Ragamayi Maramraju, Isha Kedia, Rajesh Botchu, Sanjay Khaladkar
Format: Article
Language:English
Published: BMC 2022-11-01
Series:BMC Medical Imaging
Subjects:
Artificial intelligence
Pulmonary embolism
Computed tomographic pulmonary angiography
U-Net architecture
Online Access:https://doi.org/10.1186/s12880-022-00916-0

Internet

https://doi.org/10.1186/s12880-022-00916-0

Similar Items