Deep learning-driven multi-view multi-task image quality assessment method for chest CT image

Deep learning-driven multi-view multi-task image quality assessment method for chest CT image

Abstract Background Chest computed tomography (CT) image quality impacts radiologists’ diagnoses. Pre-diagnostic image quality assessment is essential but labor-intensive and may have human limitations (fatigue, perceptual biases, and cognitive biases). This study aims to develop and validate a deep...

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Bibliographic Details
Main Authors: Jialin Su, Meifang Li, Yongping Lin, Liu Xiong, Caixing Yuan, Zhimin Zhou, Kunlong Yan
Format: Article
Language:English
Published: BMC 2023-12-01
Series:BioMedical Engineering OnLine
Subjects:
Image quality assessment
Deep learning
Multi-view
Multi-task
Chest computed tomography images
Online Access:https://doi.org/10.1186/s12938-023-01183-y

Internet

https://doi.org/10.1186/s12938-023-01183-y

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