Deep learning-based fully automatic segmentation of the maxillary sinus on cone-beam computed tomographic images

Hanseung Choi; Kug Jin Jeon; Young Hyun Kim; Eun-Gyu Ha; Chena Lee; Sang‐Sun Han

doi:10.1038/s41598-022-18436-w

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Deep learning-based fully automatic segmentation of the maxillary sinus on cone-beam computed tomographic images

Hanseung Choi Kug Jin Jeon Young Hyun Kim Eun-Gyu Ha Chena Lee Sang‐Sun Han

Year: 2022 Journal: Scientific Reports Vol: 12 (1)Pages: 14009-14009 Publisher: Nature Portfolio

DOI: 10.1038/s41598-022-18436-w

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Keywords:

Maxillary sinus Segmentation Cone beam computed tomography Artificial intelligence Sinus (botany) Medicine Computer science Dentistry Computer vision Orthodontics Radiology Computed tomography

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Dental Radiography and Imaging

Health Sciences → Dentistry → Oral Surgery

Sinusitis and nasal conditions

Health Sciences → Medicine → Otorhinolaryngology

Dental Implant Techniques and Outcomes

Health Sciences → Dentistry → Oral Surgery

Deep learning-based fully automatic segmentation of the maxillary sinus on cone-beam computed tomographic images

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Citation History

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