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Table 1 Variables used in the model

From: GADNN: a revolutionary hybrid deep learning neural network for age and sex determination utilizing cone beam computed tomography images of maxillary and frontal sinuses

Variable

Description

abbreviations

Measurement method

Role

Age

Age of participants in year

-

Medical Records

Output

Sex

Patients’ sex status

-

Medical Records

Output

Frontal sinus volume

Lucent space (filled with air) inside the frontal bone

FSV

CBCT Images

Input

Volume of right and left maxillary sinus

Lucent space (filled with air) inside the maxilla bone

RMSV/LMSV

CBCT Images

Input

Length of the frontal sinus

The greatest distance between the most anterior point of the sinus and its most posterior point

FSL

CBCT Images

Input

Frontal sinus width

The greatest distance of the outermost point of the sinus from its innermost point

FSW

CBCT Images

Input

Height of the frontal sinus

The greatest distance of the highest point of the roof of the sinus from the lowest point of its floor

FSH

CBCT Images

Input

Length of right and left maxillary sinus

The greatest distance between the most anterior point of the sinus and its most posterior point x

RMSL/LMSL

CBCT Images

Input

Right and left maxillary sinus width

The greatest distance of the highest point of the roof of the sinus from the lowest point of its floor

RMSW/LMSW

CBCT Images

Input

Height of right and left maxillary sinus

The greatest distance of the highest point of the roof of the sinus from the lowest point of its floor

RMSH/LMSH

CBCT Images

Input