Development and validation of an ensemble artificial intelligence model for comprehensive imaging quality check to classify body parts and contrast enhancement

Development and validation of an ensemble artificial intelligence model for comprehensive imaging quality check to classify body parts and contrast enhancement

Abstract Background Despite the dramatic increase in the use of medical imaging in various therapeutic fields of clinical trials, the first step of image quality check (image QC), which aims to check whether images are uploaded appropriately according to the predefined rules, is still performed manu...

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Bibliographic Details
Main Authors: Seongwon Na, Yu Sub Sung, Yousun Ko, Youngbin Shin, Junghyun Lee, Jiyeon Ha, Su Jung Ham, Kyoungro Yoon, Kyung Won Kim
Format: Article
Language:English
Published: BMC 2022-05-01
Series:BMC Medical Imaging
Subjects:
Artificial intelligence
Computed tomography series
Deep learning
Transfer learning
Two-dimensional convert method
Image quality check
Online Access:https://doi.org/10.1186/s12880-022-00815-4

Internet

https://doi.org/10.1186/s12880-022-00815-4

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