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| DC Field | Value | Language |
|---|---|---|
| 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 | - |