[Tooth segmentation and identification on cone-beam computed tomography with convolutional neural network based on spatial embedding information].

Journal: Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences

PMID: 39041573

Abstract

OBJECTIVE: To propose a novel neural network to achieve tooth instance segmentation and recognition based on cone-beam computed tomography (CBCT) voxel data.

Authors

Shishi Bo

Department of General Dentistry Ⅱ, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing 100081, China.
Chengzhi Gao

Department of Dentistry, Peking University People' s Hospital, Beijing 100044, China.

Keywords

Algorithms Cone-Beam Computed Tomography Humans Image Processing, Computer-Assisted Neural Networks, Computer Tooth

External Resources

View on PubMed Access via DOI PubMed (39041573)

[Tooth segmentation and identification on cone-beam computed tomography with convolutional neural network based on spatial embedding information].

Abstract

Authors

Keywords

External Resources

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