Corrigendum to “Efficacy of machine learning assisted dental age assessment in local population” [Legal Med. 59 (2022) 102148] (Legal Medicine (2022) 59, (S1344622322001365), (10.1016/j.legalmed.2022.102148))

Te Ju Wu; Chia Ling Tsai; Yin Hua Huang; Tzuo Yau Fan; Yueh Peng Chen

doi:10.1016/j.legalmed.2022.102191

Corrigendum to “Efficacy of machine learning assisted dental age assessment in local population” [Legal Med. 59 (2022) 102148] (Legal Medicine (2022) 59, (S1344622322001365), (10.1016/j.legalmed.2022.102148))

Te Ju Wu
, Chia Ling Tsai
, Yin Hua Huang
, Tzuo Yau Fan
, Yueh Peng Chen^*

^*此作品的通信作者

智慧醫療創新碩士學位學程

Chang Gung University
Ltd.
Chang Gung Memorial Hospital

研究成果: 期刊稿件 › 評論/辯論

摘要

The authors regret, The IRB approval date in the original “Institutional Review Board Statement” should be corrected to June 14, 2019. The authors would like to apologise for any inconvenience caused.

原文	英語
文章編號	102191
期刊	Legal Medicine
卷	63
DOIs	https://doi.org/10.1016/j.legalmed.2022.102191
出版狀態	已出版 - 07 2023

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Publisher Copyright:
© 2022 Elsevier B.V.

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10.1016/j.legalmed.2022.102191

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title = "Corrigendum to “Efficacy of machine learning assisted dental age assessment in local population” [Legal Med. 59 (2022) 102148] (Legal Medicine (2022) 59, (S1344622322001365), (10.1016/j.legalmed.2022.102148))",

abstract = "The authors regret, The IRB approval date in the original “Institutional Review Board Statement” should be corrected to June 14, 2019. The authors would like to apologise for any inconvenience caused.",

author = "Wu, \{Te Ju\} and Tsai, \{Chia Ling\} and Huang, \{Yin Hua\} and Fan, \{Tzuo Yau\} and Chen, \{Yueh Peng\}",

note = "Publisher Copyright: {\textcopyright} 2022 Elsevier B.V.",

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doi = "10.1016/j.legalmed.2022.102191",

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AU - Wu, Te Ju

AU - Tsai, Chia Ling

AU - Huang, Yin Hua

AU - Fan, Tzuo Yau

AU - Chen, Yueh Peng

PY - 2023/7

Y1 - 2023/7

N2 - The authors regret, The IRB approval date in the original “Institutional Review Board Statement” should be corrected to June 14, 2019. The authors would like to apologise for any inconvenience caused.

AB - The authors regret, The IRB approval date in the original “Institutional Review Board Statement” should be corrected to June 14, 2019. The authors would like to apologise for any inconvenience caused.

UR - https://www.scopus.com/pages/publications/85146075780

U2 - 10.1016/j.legalmed.2022.102191

DO - 10.1016/j.legalmed.2022.102191

M3 - 评论/辩论

C2 - 36610900

AN - SCOPUS:85146075780

SN - 1344-6223

VL - 63

JO - Legal Medicine

JF - Legal Medicine

M1 - 102191

ER -

Corrigendum to “Efficacy of machine learning assisted dental age assessment in local population” [Legal Med. 59 (2022) 102148] (Legal Medicine (2022) 59, (S1344622322001365), (10.1016/j.legalmed.2022.102148))

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