Automatic detection of pulmonary embolism in computed tomography pulmonary angiography using Scaled‐YOLOv4

Background Pulmonary embolism (PE) is a common but fatal clinical condition and the gold standard of diagnosis is computed tomography pulmonary angiography (CTPA). Prompt diagnosis and rapid treatment can dramatically reduce mortality in patients. However, the diagnosis of PE is often delayed and mi...

Full description

Saved in:

Bibliographic Details
Published in:	Medical physics (Lancaster) Vol. 50; no. 7; pp. 4340 - 4350
Main Authors:	Xu, Haijun, Li, Huiyao, Xu, Qifei, Zhang, Zewei, Wang, Ping, Li, Dong, Guo, Li
Format:	Journal Article
Language:	English
Published:	United States 01.07.2023
Subjects:	Algorithms Angiography computed tomography (CT) Computed Tomography Angiography - methods computer‐aided detection deep learning Humans Probability pulmonary embolism Pulmonary Embolism - diagnostic imaging Tomography YOLO YOLO deep learning computer-aided detection computed tomography (CT) pulmonary embolism
ISSN:	0094-2405, 2473-4209, 2473-4209
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!