Sample and system parameter estimation from local speckle pattern by fully numerically trained deep convolution neural network

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dc.contributor.authorThitiya Seesan
dc.contributor.authorDaisuke Oida
dc.contributor.authorKensuke Oikawa
dc.contributor.authorPrathan Buranasiri
dc.contributor.authorYoshiaki Yasuno
dc.date.accessioned2025-07-21T06:04:52Z
dc.date.issued2021-03-04
dc.identifier.doi10.1117/12.2578012
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/10166
dc.subjectConvolution (computer science)
dc.subjectSample (material)
dc.subjectSpeckle noise
dc.subject.classificationOptical Coherence Tomography Applications
dc.titleSample and system parameter estimation from local speckle pattern by fully numerically trained deep convolution neural network
dc.typeArticle

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