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형광 및 단층 영상 동시 획득 가능한 소형 멀티모달 이미징 프로브 및 인공 신경망 기반 신호처리
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dc.contributor.author 임진택 -
dc.contributor.author 송철 -
dc.date.accessioned 2025-01-23T09:40:16Z -
dc.date.available 2025-01-23T09:40:16Z -
dc.date.created 2023-12-22 -
dc.date.issued 2023-11-24 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/57704 -
dc.description.abstract Several multimodal imaging probes have recently been studied, providing real-time pathological images for clinical gastrointestinal endoscopy screening and biopsy. Nevertheless, achieving miniaturization of the imaging probe and the real-time phase lag estimation for the image reconstruction remain challenges. In this study, a compact multi-modal imaging probe was constructed using a parallel structure. A phase lag estimation network (PLE-Net) was also established using convolutional neural networks and a Laplace distribution-based reference signal. -
dc.language Korean -
dc.publisher 대한전자공학회 -
dc.relation.ispartof 2023년 대한전자공학회 추계학술대회 논문집 -
dc.title 형광 및 단층 영상 동시 획득 가능한 소형 멀티모달 이미징 프로브 및 인공 신경망 기반 신호처리 -
dc.title.alternative Compact Multimodal Imaging Probe for Simultaneous Fluorescence and Cross-sectional Imaging with an Artificial Intelligence-based Signal Processing -
dc.type Conference Paper -
dc.identifier.bibliographicCitation 임진택. (2023-11-24). 형광 및 단층 영상 동시 획득 가능한 소형 멀티모달 이미징 프로브 및 인공 신경망 기반 신호처리. 대한전자공학회 2023년도 추계학술대회, 20–21. -
dc.identifier.url https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE11701250 -
dc.citation.conferenceDate 2023-11-24 -
dc.citation.conferencePlace KO -
dc.citation.conferencePlace 시흥 -
dc.citation.endPage 21 -
dc.citation.startPage 20 -
dc.citation.title 대한전자공학회 2023년도 추계학술대회 -
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송철
Song, Cheol송철

Department of Robotics and Mechatronics Engineering

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