GADNN: a revolutionary hybrid deep learning neural network for age and sex determination utilizing cone beam computed tomography images of maxillary and frontal sinuses - Hamidi, Omid; Afrasiabi, Mahlagha; Namaki, Marjan (BMC medical research methodology, 2024)
Keywords: Age; Age groups; Analysis; Artificial intelligence; Cone-Beam Computed Tomography - methods; CT imaging; Deep Learning; Dental implants; Dentistry; Discriminant analysis; Evaluation; Female; Forensic dentistry; Forensic medicine; Genetic algorithm; Genetic algorithms; Health Sciences; Humans; Innovations; Machine learning; Male; Maxillary Sinus - diagnostic imaging; Medical research; Medicine; Medicine & Public Health; Methods; Neural networks; Neural Networks, Computer; Optimization techniques; Orthodontics; Paranasal sinuses; Sinuses; Software; Statistical Theory and Methods; Statistics for Life Sciences; Theory of Medicine/Bioethics; Tomography; Variables; Iran; Forensic dentistry; Forensic science; Genetic algorithm; Paranasal sinuses; Machine learning; Dentistry; Artificial intelligence