Corrigendum to ‘Assessment of deep learning-based auto-contouring on interobserver consistency in target volume and organs-at-risk delineation for breast cancer: Implications for RTQA program in a multi-institutional study’ [The Breast 73 (2024) 103599] (The Breast (2024) 73, (S0960977623007257), (10.1016/j.breast.2023.103599))

Min Seo Choi; Jee Suk Chang; Kyubo Kim; Jin Hee Kim; Tae Hyung Kim; Sungmin Kim; Hyejung Cha; Oyeon Cho; Jin Hwa Choi; Myungsoo Kim; Juree Kim; Tae Gyu Kim; Seung Gu Yeo; Ah Ram Chang; Sung Ja Ahn; Jinhyun Choi; Ki Mun Kang; Jeanny Kwon; Taeryool Koo; Mi Young Kim; Seo Hee Choi; Bae Kwon Jeong; Bum Sup Jang; In Young Jo; Hyebin Lee; Nalee Kim; Hae Jin Park; Jung Ho Im; Sea Won Lee; Yeona Cho; Sun Young Lee; Ji Hyun Chang; Jaehee Chun; Eung Man Lee; Jin Sung Kim; Kyung Hwan Shin; Yong Bae Kim

doi:10.1016/j.breast.2023.103624

Corrigendum to ‘Assessment of deep learning-based auto-contouring on interobserver consistency in target volume and organs-at-risk delineation for breast cancer: Implications for RTQA program in a multi-institutional study’ [The Breast 73 (2024) 103599] (The Breast (2024) 73, (S0960977623007257), (10.1016/j.breast.2023.103599))

Min Seo Choi
, Jee Suk Chang
, Kyubo Kim
, Jin Hee Kim
, Tae Hyung Kim
, Sungmin Kim
, Hyejung Cha
, Oyeon Cho
, Jin Hwa Choi
, Myungsoo Kim
, Juree Kim
, Tae Gyu Kim
, Seung Gu Yeo
, Ah Ram Chang
, Sung Ja Ahn
, Jinhyun Choi
, Ki Mun Kang
, Jeanny Kwon
, Taeryool Koo
, Mi Young Kim

Seo Hee Choi, Bae Kwon Jeong, Bum Sup Jang, In Young Jo, Hyebin Lee, Nalee Kim, Hae Jin Park, Jung Ho Im, Sea Won Lee, Yeona Cho, Sun Young Lee, Ji Hyun Chang, Jaehee Chun, Eung Man Lee, Jin Sung Kim, Kyung Hwan Shin, Yong Bae Kim

Department of Radiation Oncology

Research output: Contribution to journal › Comment/debate

Abstract

The authors apologize for the oversight in presenting incomplete affiliations for author Jin Sung Kim. Jin Sung Kim is affiliated with the Department of Radiation Oncology, Yonsei University College of Medicine, Seoul, Republic of Korea, and Oncosoft Inc., Seoul, Republic of Korea. The authors would like to apologize for any inconvenience caused.

Original language	English
Article number	103624
Journal	Breast
Volume	74
DOIs	https://doi.org/10.1016/j.breast.2023.103624
State	Published - Apr 2024

Bibliographical note

Publisher Copyright:
© 2023 The Author(s)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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10.1016/j.breast.2023.103624

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Choi, M. S., Chang, J. S., Kim, K., Kim, J. H., Kim, T. H., Kim, S., Cha, H., Cho, O., Choi, J. H., Kim, M., Kim, J., Kim, T. G., Yeo, S. G., Chang, A. R., Ahn, S. J., Choi, J., Kang, K. M., Kwon, J., Koo, T., ... Kim, Y. B. (2024). Corrigendum to ‘Assessment of deep learning-based auto-contouring on interobserver consistency in target volume and organs-at-risk delineation for breast cancer: Implications for RTQA program in a multi-institutional study’ [The Breast 73 (2024) 103599] (The Breast (2024) 73, (S0960977623007257), (10.1016/j.breast.2023.103599)). Breast, 74, Article 103624. https://doi.org/10.1016/j.breast.2023.103624

Choi, Min Seo ; Chang, Jee Suk ; Kim, Kyubo et al. / Corrigendum to ‘Assessment of deep learning-based auto-contouring on interobserver consistency in target volume and organs-at-risk delineation for breast cancer : Implications for RTQA program in a multi-institutional study’ [The Breast 73 (2024) 103599] (The Breast (2024) 73, (S0960977623007257), (10.1016/j.breast.2023.103599)). In: Breast. 2024 ; Vol. 74.

@article{9c24af46b45749f4935c9f666dfaacf0,

title = "Corrigendum to {\textquoteleft}Assessment of deep learning-based auto-contouring on interobserver consistency in target volume and organs-at-risk delineation for breast cancer: Implications for RTQA program in a multi-institutional study{\textquoteright} [The Breast 73 (2024) 103599] (The Breast (2024) 73, (S0960977623007257), (10.1016/j.breast.2023.103599))",

abstract = "The authors apologize for the oversight in presenting incomplete affiliations for author Jin Sung Kim. Jin Sung Kim is affiliated with the Department of Radiation Oncology, Yonsei University College of Medicine, Seoul, Republic of Korea, and Oncosoft Inc., Seoul, Republic of Korea. The authors would like to apologize for any inconvenience caused.",

author = "Choi, \{Min Seo\} and Chang, \{Jee Suk\} and Kyubo Kim and Kim, \{Jin Hee\} and Kim, \{Tae Hyung\} and Sungmin Kim and Hyejung Cha and Oyeon Cho and Choi, \{Jin Hwa\} and Myungsoo Kim and Juree Kim and Kim, \{Tae Gyu\} and Yeo, \{Seung Gu\} and Chang, \{Ah Ram\} and Ahn, \{Sung Ja\} and Jinhyun Choi and Kang, \{Ki Mun\} and Jeanny Kwon and Taeryool Koo and Kim, \{Mi Young\} and Choi, \{Seo Hee\} and Jeong, \{Bae Kwon\} and Jang, \{Bum Sup\} and Jo, \{In Young\} and Hyebin Lee and Nalee Kim and Park, \{Hae Jin\} and Im, \{Jung Ho\} and Lee, \{Sea Won\} and Yeona Cho and Lee, \{Sun Young\} and Chang, \{Ji Hyun\} and Jaehee Chun and Lee, \{Eung Man\} and Kim, \{Jin Sung\} and Shin, \{Kyung Hwan\} and Kim, \{Yong Bae\}",

note = "Publisher Copyright: {\textcopyright} 2023 The Author(s)",

year = "2024",

month = apr,

doi = "10.1016/j.breast.2023.103624",

language = "English",

volume = "74",

journal = "Breast",

issn = "0960-9776",

publisher = "Churchill Livingstone",

}

Choi, MS, Chang, JS, Kim, K, Kim, JH, Kim, TH, Kim, S, Cha, H, Cho, O, Choi, JH, Kim, M, Kim, J, Kim, TG, Yeo, SG, Chang, AR, Ahn, SJ, Choi, J, Kang, KM, Kwon, J, Koo, T, Kim, MY, Choi, SH, Jeong, BK, Jang, BS, Jo, IY, Lee, H, Kim, N, Park, HJ, Im, JH, Lee, SW, Cho, Y, Lee, SY, Chang, JH, Chun, J, Lee, EM, Kim, JS, Shin, KH & Kim, YB 2024, 'Corrigendum to ‘Assessment of deep learning-based auto-contouring on interobserver consistency in target volume and organs-at-risk delineation for breast cancer: Implications for RTQA program in a multi-institutional study’ [The Breast 73 (2024) 103599] (The Breast (2024) 73, (S0960977623007257), (10.1016/j.breast.2023.103599))', Breast, vol. 74, 103624. https://doi.org/10.1016/j.breast.2023.103624

Corrigendum to ‘Assessment of deep learning-based auto-contouring on interobserver consistency in target volume and organs-at-risk delineation for breast cancer: Implications for RTQA program in a multi-institutional study’ [The Breast 73 (2024) 103599] (The Breast (2024) 73, (S0960977623007257), (10.1016/j.breast.2023.103599)). / Choi, Min Seo; Chang, Jee Suk; Kim, Kyubo et al.
In: Breast, Vol. 74, 103624, 04.2024.

Research output: Contribution to journal › Comment/debate

TY - JOUR

T1 - Corrigendum to ‘Assessment of deep learning-based auto-contouring on interobserver consistency in target volume and organs-at-risk delineation for breast cancer

T2 - Implications for RTQA program in a multi-institutional study’ [The Breast 73 (2024) 103599] (The Breast (2024) 73, (S0960977623007257), (10.1016/j.breast.2023.103599))

AU - Choi, Min Seo

AU - Chang, Jee Suk

AU - Kim, Kyubo

AU - Kim, Jin Hee

AU - Kim, Tae Hyung

AU - Kim, Sungmin

AU - Cha, Hyejung

AU - Cho, Oyeon

AU - Choi, Jin Hwa

AU - Kim, Myungsoo

AU - Kim, Juree

AU - Kim, Tae Gyu

AU - Yeo, Seung Gu

AU - Chang, Ah Ram

AU - Ahn, Sung Ja

AU - Choi, Jinhyun

AU - Kang, Ki Mun

AU - Kwon, Jeanny

AU - Koo, Taeryool

AU - Kim, Mi Young

AU - Choi, Seo Hee

AU - Jeong, Bae Kwon

AU - Jang, Bum Sup

AU - Jo, In Young

AU - Lee, Hyebin

AU - Kim, Nalee

AU - Park, Hae Jin

AU - Im, Jung Ho

AU - Lee, Sea Won

AU - Cho, Yeona

AU - Lee, Sun Young

AU - Chang, Ji Hyun

AU - Chun, Jaehee

AU - Lee, Eung Man

AU - Kim, Jin Sung

AU - Shin, Kyung Hwan

AU - Kim, Yong Bae

PY - 2024/4

Y1 - 2024/4

N2 - The authors apologize for the oversight in presenting incomplete affiliations for author Jin Sung Kim. Jin Sung Kim is affiliated with the Department of Radiation Oncology, Yonsei University College of Medicine, Seoul, Republic of Korea, and Oncosoft Inc., Seoul, Republic of Korea. The authors would like to apologize for any inconvenience caused.

AB - The authors apologize for the oversight in presenting incomplete affiliations for author Jin Sung Kim. Jin Sung Kim is affiliated with the Department of Radiation Oncology, Yonsei University College of Medicine, Seoul, Republic of Korea, and Oncosoft Inc., Seoul, Republic of Korea. The authors would like to apologize for any inconvenience caused.

UR - https://www.scopus.com/pages/publications/85181256482

U2 - 10.1016/j.breast.2023.103624

DO - 10.1016/j.breast.2023.103624

M3 - Comment/debate

AN - SCOPUS:85181256482

SN - 0960-9776

VL - 74

JO - Breast

JF - Breast

M1 - 103624

ER -

Choi MS, Chang JS, Kim K, Kim JH, Kim TH, Kim S et al. Corrigendum to ‘Assessment of deep learning-based auto-contouring on interobserver consistency in target volume and organs-at-risk delineation for breast cancer: Implications for RTQA program in a multi-institutional study’ [The Breast 73 (2024) 103599] (The Breast (2024) 73, (S0960977623007257), (10.1016/j.breast.2023.103599)). Breast. 2024 Apr;74:103624. doi: 10.1016/j.breast.2023.103624