Converting dose-area product to effective dose in dental cone-beam computed tomography using organ-specific deep learning.

Journal: Dento maxillo facial radiology

PMID: 39607772

Abstract

OBJECTIVE: To develop an accurate method for converting dose-area product (DAP) to patient dose for dental cone-beam computed tomography (CBCT) using deep learning.

Authors

Ruben Pauwels

Aarhus Institute of Advanced Studies (AIAS), Aarhus University, Høegh-Guldbergs Gade 6B, 8000-C, Aarhus, Denmark. pauwelsruben@hotmail.com.

Keywords

Adult Cone-Beam Computed Tomography Deep Learning Humans Neural Networks, Computer Phantoms, Imaging Radiation Dosage Radiography, Dental

External Resources

View on PubMed Access via DOI PubMed (39607772)

Converting dose-area product to effective dose in dental cone-beam computed tomography using organ-specific deep learning.

Abstract

Authors

Keywords

External Resources

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