Applications of deep learning to accelerate label-free nerve imaging rate using coherent Raman rigid endoscopy : Construction of transfer learning method with fluorescence images and evaluation method for maximum imaging rate [an abstract of dissertation and a summary of dissertation review]


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Naoki_Yamato_abstract.pdf	論文内容の要旨	74.4 kB	PDF	View/Open
Naoki_Yamato_review.pdf	審査の要旨	82.79 kB	PDF	View/Open

Please use this identifier to cite or link to this item:http://hdl.handle.net/2115/89851

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Title:	Applications of deep learning to accelerate label-free nerve imaging rate using coherent Raman rigid endoscopy : Construction of transfer learning method with fluorescence images and evaluation method for maximum imaging rate [an abstract of dissertation and a summary of dissertation review]
Other Titles:	非線形ラマン硬性内視鏡による無標識神経イメージング高速化への深層学習の応用 : 蛍光画像を用いた転移学習法と最大撮像速度の評価法の構築 [論文内容及び審査の要旨]
Authors:	大和, 尚記 Browse this author
Issue Date:	23-Mar-2023
Publisher:	Hokkaido University
Conffering University:	北海道大学
Degree Report Number:	甲第15545号
Degree Level:	博士
Degree Discipline:	情報科学
Examination Committee Members:	(主査) 教授橋本守, 教授平田拓, 教授雲林院宏, 准教授工藤信樹
Degree Affiliation:	情報科学院(情報科学専攻)
Rights:	https://creativecommons.org/licenses/by/4.0/
Type:	theses (doctoral - abstract and summary of review)
URI:	http://hdl.handle.net/2115/89851
Appears in Collections:	課程博士 (Doctorate by way of Advanced Course) > 情報科学院(Graduate School of Information Science and Technology) 学位論文 (Theses) > 博士　（情報科学）

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