2023 년 봄 학술대회 구연 발표는 다음 순서대로 진행 예정입니다.

발표 시간은 토의를 포함하여 15분 (발표:10분, 토의:5분) 이므로 요약 발표 부탁드립니다.

* 구연발표 순서*

O1-6 ( 수원컨벤션센터 컨벤션홀(3층) )

좌장: 채승완 교수 ( 성균관의대 ), 김지연 교수 ( 부산의대 )  

O1. 제목: Artificial Intelligence Improves Accuracy of Urine Cytology for Bladder Cancer Detection: Largest Dataset Study

성명: Yosep CHONG¹ , Kwangil YIM¹, Kyung Jin SEO¹, Gisu HWANG², Dahyun Kim², Mohammad Rizwan ALAM¹, Gyungyub GONG³*, Nam Hoon CHO⁴, Chong Woo YOO⁵

소속: ¹ Department of Hospital Pathology, The Catholic University of Korea College of Medicine;

² AI Team, DeepNoid Inc.; ³ Department of Pathology, Asan Medical Center;

⁴ Department of Pathology, Yonsei University College of Medicine;

⁵ Department of Pathology, National Cancer Center, REPUBLIC OF KOREA

O2. 제목: An effective method to combine fine-needle aspiration cytology and corresponding cell block for the accurate and clinically relevant cytologic diagnosis

성명: Youjeong Seo, Lucia Kim, Jee Young Han, Joon Mee Kim, and Suk Jin Choi

소속: Department of Pathology, Inha University Hospital, Incheon, Korea

O3. 제목: A study on differentiation of High-grade Nuroendocrine carcinoma of the Cervix

성명: Jeong-Eun Kang, Eun-hyang Park, Ji-Eun Kim, Sang-Gu Cheon, Yu-jin Sim, Hong-Rok Pyun, Jin-Soo Lee.

소속: Department of Pathology Yonsei University College of Medicine

O4. 제목: Whole slide image-level prediction of malignant effusion cytology using clustering-constrained attention multiple instance learning

성명: Kyung Jin SEO^1,* , Binna KIM¹, Kwangil YIM¹, Gisu HWANG², Dahyeon KIM², Mohammad Rizwan ALAM¹, Gyungyub GONG³*, Nam Hoon CHO⁴, Chong Woo YOO^5, Yosep CHONG¹

소속: ^{1, *} Department of Hospital Pathology, The Catholic University of Korea College of Medicine;

² AI Team, DeepNoid Inc.; ³ Department of Pathology, Asan Medical Center;

⁴ Department of Pathology, Yonsei University College of Medicine;

⁵ Department of Pathology, National Cancer Center, REPUBLIC OF KOREA

O5. 제목: Development of a cytopathology diagnosis system for metastatic colorectal cancer in ascitic fluid through artificial neural network image analysis using whole slide image

성명: Hyung Kyung Kim 1 , Gisu HWANG2, Dahyeon Kim2, Gyungyub GONG3, Nam Hoon CHO4, Mirim Kim 4, Chong Woo YOO5, Yosep CHONG6

소속:  ¹ Department of Pathology, Seoul National University Bundang Hospital; ² AI Team, DeepNoid Inc.; ³ Department of Pathology, Asan Medical Center; ⁴ Department of Pathology, Yonsei University College of Medicine; ⁵ Department of Pathology, National Cancer Center, ⁶ Department of Hospital Pathology, The Catholic University of Korea College of Medicine

O6. 제목: Development of an AI Model for Whole Slide Image Diagnosis of Thyroid Fine-Needle Aspiration Cytology Using Multiple Instance Learning

성명: Yujin Lee¹ , Hongsik Park¹, Kwangil Yim¹, Jamshid Abdul-Ghafar¹, Kyung Jin Seo¹, Gisu Hwang², Sohyun Jeong², Gyungyub Gong³, Nam Hoon Cho⁴, Chong Woo Yoo⁵, Yosep Chong^1*, Hyun Joo Choi ^1*

소속: ¹ Department of Hospital Pathology, The Catholic University of Korea College of Medicine, Seoul;

² AI Team, DeepNoid Inc., Seoul;

³ Department of Pathology, Asan Medical Center, Seoul;

⁴ Department of Pathology, Yonsei University College of Medicine, Seoul;

⁵ Department of Pathology, National Cancer Center, Ilsan, Gyeonggi-do, Republic of Korea