Sex estimation from maxillofacial radiographs using a deep learning approach-Reference-Cited by-同舟云学术

Sex estimation from maxillofacial radiographs using a deep learning approach

Published:2024-05-25 Issue:3 Volume:43 Page:394-399
ISSN:0287-4547
Container-title:Dental Materials Journal
language:en
Short-container-title:Dent. Mater. J.

Author:

HASE Hiroki¹,MINE Yuichi¹²,OKAZAKI Shota¹²,YOSHIMI Yuki³,ITO Shota³,PENG Tzu-Yu⁴,SANO Mizuho¹,KOIZUMI Yuma³,KAKIMOTO Naoya⁴,TANIMOTO Kotaro⁵,MURAYAMA Takeshi¹²

Affiliation:

1. Department of Medical Systems Engineering, Graduate School of Biomedical and Health Sciences, Hiroshima University

2. Project Research Center for Integrating Digital Dentistry, Hiroshima University

3. Department of Orthodontics and Craniofacial Developmental Biology, Graduate School of Biomedical and Health Sciences, Hiroshima University

4. School of Dentistry, College of Oral Medicine, Taipei Medical University

5. Department of Oral and Maxillofacial Radiology, Graduate School of Biomedical and Health Sciences, Hiroshima University

Publisher

Japanese Society for Dental Materials and Devices

Link

https://www.jstage.jst.go.jp/article/dmj/43/3/43_2023-253/_pdf

Reference27 articles.

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