Deep Learning Approach with Image-based Computational Fluid Dynamic Simulation for Abdominal Aortic Aneurysm Growth Prediction

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DC Field	Value	Language
dc.contributor.author	김세근	-
dc.date.accessioned	2022-08-23T01:50:48Z	-
dc.date.available	2022-08-23T01:50:48Z	-
dc.date.issued	2022-02	-
dc.identifier.uri	https://ir.ymlib.yonsei.ac.kr/handle/22282913/189653	-
dc.description.statementOfResponsibility	prohibition	-
dc.format	application/pdf	-
dc.publisher	Graduate School, Yonsei University	-
dc.rights	CC BY-NC-ND 2.0 KR	-
dc.title	Deep Learning Approach with Image-based Computational Fluid Dynamic Simulation for Abdominal Aortic Aneurysm Growth Prediction	-
dc.title.alternative	복부대동맥류 성장 예측을 위한 영상 기반 전산 유체 역학 시뮬레이션 및 딥러닝 방법	-
dc.type	Thesis	-
dc.contributor.college	College of Medicine (의과대학)	-
dc.contributor.department	Others (기타)	-
dc.description.degree	박사	-
dc.contributor.alternativeName	Kim, Sekeun	-
dc.type.local	Dissertation	-

Appears in Collections:: 1. College of Medicine (의과대학) > Others (기타) > 3. Dissertation

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