Evaluation of the clinical efficacy of a TW3-based fully automated bone age assessment system using deep neural networks-Reference-Cited by-同舟云学术

Evaluation of the clinical efficacy of a TW3-based fully automated bone age assessment system using deep neural networks

Published:2020 Issue:3 Volume:50 Page:237
ISSN:2233-7822
Container-title:Imaging Science in Dentistry
language:en
Short-container-title:Imaging Sci Dent

Author:

Shin Nan-Young¹^ORCID,Lee Byoung-Dai²³^ORCID,Kang Ju-Hee¹^ORCID,Kim Hye-Rin¹^ORCID,Oh Dong Hyo²^ORCID,Lee Byung Il²^ORCID,Kim Sung Hyun²^ORCID,Lee Mu Sook⁴^ORCID,Heo Min-Suk¹^ORCID

Affiliation:

1. Department of Oral and Maxillofacial Radiology and Dental Research Institute, School of Dentistry, Seoul National University, Seoul, Korea.

2. Center for Artificial Intelligence in Medicine and Imaging, HealthHub, Seoul, Korea.

3. Division of Computer Science and Engineering, Kyonggi University, Suwon, Korea.

4. Department of Radiology, Keimyung University, Dongsan Hospital, Daegu, Korea.

Publisher

Korean Academy of Oral and Maxillofacial Radiology

Subject

Radiology, Nuclear Medicine and imaging,General Dentistry,Radiological and Ultrasound Technology

Link

https://isdent.org/pdf/10.5624/isd.2020.50.3.237

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