Automated size-specific dose estimates framework in thoracic CT using convolutional neural network based on U-Net model.

Journal: Journal of applied clinical medical physics

Published Date: Jan 31, 2024

Abstract

PURPOSE: This study aimed to develop an automated method that uses a convolutional neural network (CNN) for calculating size-specific dose estimates (SSDEs) based on the corrected effective diameter (D ) in thoracic computed tomography (CT).

Authors

Sakultala Ruenjit

Medical Physics Program, Department of Radiology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Punnarai Siricharoen

The Perceptual Intelligent Computing Lab, Department of Computer Engineering, Faculty of, Engineering, Chulalongkorn University, Bangkok, Thailand.
Kitiwat Khamwan

Medical Physics Program, Department of Radiology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.

Keywords

Adult Algorithms Humans Linear Models Neural Networks, Computer Radiation Dosage Tomography, X-Ray Computed

External Resources

View on PubMed Access via DOI PubMed (38295146)

Automated size-specific dose estimates framework in thoracic CT using convolutional neural network based on U-Net model.

Abstract

Authors

Keywords

External Resources

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