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Document Title Author Full Name Author Short Name Index Corresponding Address ResearcherID ResearcherID Author Name ORCID ORCID Author Name Related Email
Deep learning algorithm for the automated detection and classification of nasal cavity mass in nasal endoscopic images Park, Il-Ho Park, I 5 Korea Univ, Coll Med, Dept Otorhinolaryngol Head & Neck Surg, Guro Hosp, Seoul, South Korea AAI-1394-2019 Park, Il-Ho 0000-0002-7011-6071 PARK, IL-HO dryums@gmail.com;entkwon@hanmail.net;jykim@kyuh.ac.kr;
Deep learning algorithm for the automated detection and classification of nasal cavity mass in nasal endoscopic images Cho, Hyun-Jin Cho, HJ 6 Gyeongsang Natl Univ, Sch Med, Dept Otorhinolaryngol, Jinju, South Korea dryums@gmail.com;entkwon@hanmail.net;jykim@kyuh.ac.kr;
Deep learning algorithm for the automated detection and classification of nasal cavity mass in nasal endoscopic images Cho, Hyun-Jin Cho, HJ 6 Gyeongsang Natl Univ Hosp, Jinju, South Korea dryums@gmail.com;entkwon@hanmail.net;jykim@kyuh.ac.kr;
Deep learning algorithm for the automated detection and classification of nasal cavity mass in nasal endoscopic images Kim, Jong Seung Kim, JS 7 Jeonbuk Natl Univ, Coll Med, Dept Otorhinolaryngol Head & Neck Surg, Jeonju, South Korea dryums@gmail.com;entkwon@hanmail.net;jykim@kyuh.ac.kr;
Deep learning algorithm for the automated detection and classification of nasal cavity mass in nasal endoscopic images Kim, Joo Yeon Kim, JY 8 교신저자 Kosin Univ, Coll Med, Dept Otolaryngol Head & Neck Surg, Busan, South Korea dryums@gmail.com;entkwon@hanmail.net;jykim@kyuh.ac.kr;
Deep learning algorithm for the automated detection and classification of nasal cavity mass in nasal endoscopic images Hong, Sang Duk Hong, SD 9 Sungkyunkwan Univ, Sch Med, Dept Otorhinolaryngol Head & Neck Surg, Samsung Med Ctr, Seoul, South Korea dryums@gmail.com;entkwon@hanmail.net;jykim@kyuh.ac.kr;
Deep learning algorithm for the automated detection and classification of nasal cavity mass in nasal endoscopic images Kim, Shin Ae Kim, SA 10 Soonchunhyang Univ, Coll Med, Dept Otolaryngol Head & Neck Surg, Seoul Hosp, Seoul, South Korea dryums@gmail.com;entkwon@hanmail.net;jykim@kyuh.ac.kr;
Deep learning algorithm for the automated detection and classification of nasal cavity mass in nasal endoscopic images Yoo, Shin Hyuk Yoo, SH 11 Dankook Univ, Coll Med, Dept Otorhinolaryngol Head & Neck Surg, Cheonan, South Korea dryums@gmail.com;entkwon@hanmail.net;jykim@kyuh.ac.kr;
Deep learning algorithm for the automated detection and classification of nasal cavity mass in nasal endoscopic images Park, Soo Kyoung Park, SK 12 Chungnam Natl Univ, Sejong Hosp, Coll Med, Dept Otorhinolaryngol Head & Neck Surg, Sejong, South Korea dryums@gmail.com;entkwon@hanmail.net;jykim@kyuh.ac.kr;
Deep learning algorithm for the automated detection and classification of nasal cavity mass in nasal endoscopic images Heo, Sung Jae Heo, SJ 13 Kyungpook Natl Univ, Chilgok Hosp, Sch Med, Dept Otorhinolaryngol Head & Neck Surg, Daegu, South Korea dryums@gmail.com;entkwon@hanmail.net;jykim@kyuh.ac.kr;
Deep learning algorithm for the automated detection and classification of nasal cavity mass in nasal endoscopic images Kim, Sung Hee Kim, SH 14 Natl Med Ctr, Dept Otorhinolaryngol Head & Neck Surg, Seoul, South Korea dryums@gmail.com;entkwon@hanmail.net;jykim@kyuh.ac.kr;
Deep learning algorithm for the automated detection and classification of nasal cavity mass in nasal endoscopic images Won, Tae-Bin Won, TB 15 Seoul Natl Univ, Bundang Hosp, Dept Otorhinolaryngol Head & Neck Surg, Seongnam, South Korea dryums@gmail.com;entkwon@hanmail.net;jykim@kyuh.ac.kr;
Deep learning algorithm for the automated detection and classification of nasal cavity mass in nasal endoscopic images Choi, Woo Ri Choi, WR 16 Sungkyunkwan Univ, Samsung Changwon Hosp, Dept Otolaryngol, Sch Med, Chang Won, South Korea dryums@gmail.com;entkwon@hanmail.net;jykim@kyuh.ac.kr;
Deep learning algorithm for the automated detection and classification of nasal cavity mass in nasal endoscopic images Kim, Yong Min Kim, YM 17 Chungnam Natl Univ, Coll Med, Dept Otorhinolaryngol Head & Neck Surg, Daejeon, South Korea dryums@gmail.com;entkwon@hanmail.net;jykim@kyuh.ac.kr;
Deep learning algorithm for the automated detection and classification of nasal cavity mass in nasal endoscopic images Kim, Yong Wan Kim, YW 18 Inje Univ, Dept Otorhinolaryngol, Haeundae Paik Hosp, Busan, South Korea dryums@gmail.com;entkwon@hanmail.net;jykim@kyuh.ac.kr;
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