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'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 ' (vol 73 , 103599, 2024)
- Choi, Min Seo;
- Chang, Jee Suk;
- Kim, Kyubo;
- Kim, Jin Hee;
- Kim, Tae Hyung;
- 외 32명
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- '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 ' (vol 73 , 103599, 2024)
- 저자
- Choi, Min Seo; Chang, Jee Suk; Kim, Kyubo; Kim, Jin Hee; Kim, Tae Hyung; Kim, Sungmin; Cha, Hyejung; Cho, Oyeon; Choi, Jin Hwa; Kim, Myungsoo; Kim, Juree; Kim, Tae Gyu; Yeo, Seung-Gu; Chang, Ah Ram; Ahn, Sung-Ja; Choi, Jinhyun; Kang, Ki Mun; Kwon, Jeanny; Koo, Taeryool; Kim, Mi Young; Choi, Seo Hee; Jeong, Bae Kwon; Jang, Bum-Sup; Jo, In Young; Lee, Hyebin; Kim, Nalee; Park, Hae Jin; Im, Jung Ho; Lee, Sea-Won; Cho, Yeona; Lee, Sun Young; Chang, Ji Hyun; Chun, Jaehee; Lee, Eung Man; Kim, Jin Sung; Shin, Kyung Hwan; Kim, Yong Bae
- 발행일
- 2024-04
- 유형
- Correction
- 저널명
- Breast
- 권
- 74
- 언어
- ENG
- 출판사
- CHURCHILL LIVINGSTONE
- 발행국가
- 영국
- ISSN
- E 1532-3080
P 0960-9776