Deep learning enhanced microscopy by training a convolutional neural network and a generative adversarial network with data collected using a line scanning confocal microscope

Publication:
Deep learning enhanced microscopy by training a convolutional neural network and a generative adversarial network with data collected using a line scanning confocal microscope

dc.contributor.advisor	Kiraz, Alper
dc.contributor.advisorid	0000-0001-7977-1286
dc.contributor.author	Ketabchi, Amir Mohammad
dc.contributor.institute	Koç University Graduate School of Sciences and Engineering
dc.contributor.program	Electrical and Electronics Engineering
dc.contributor.yokid	22542
dc.date.accessioned	2024-11-09T22:23:47Z
dc.date.issued	2022
dc.description	98 leaves : illustrations ; 30 cm.
dc.identifier.uri	https://hdl.handle.net/20.500.14288/5266
dc.language	English
dc.publisher	Koç University
dc.relation.collection	KU Theses and Dissertations
dc.rights	restrictedAccess
dc.rights.copyrightsnote	© All Rights Reserved. Accessible to Koç University Affiliated Users Only!
dc.subject	Confocal microscopy
dc.subject	Confocal fluorescence microscopy
dc.subject	Fluorescence microscopy
dc.thesis.degree	Master's Degree
dc.thesis.grantor	İstanbul
dc.title	Deep learning enhanced microscopy by training a convolutional neural network and a generative adversarial network with data collected using a line scanning confocal microscope
dc.type	Thesis
dspace.entity.type	Publication
relation.isAdvisorOfThesis	4e912926-5982-4dcd-adcb-5cfbab5c1daf
relation.isAdvisorOfThesis.latestForDiscovery	4e912926-5982-4dcd-adcb-5cfbab5c1daf

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