Off-Axis Holographic Interferometer with Ensemble Deep Learning for Biological Tissues Identificatio...
Off-Axis Holographic Interferometer with Ensemble Deep Learning for Biological Tissues Identification
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Basel: MDPI AG
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English
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Basel: MDPI AG
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This paper proposes a method with an off-axis interferometer and an ensemble deep learning (I-EDL) hologram-classifier to interpret noisy digital holograms captured from the tissues of flawed biological specimens. The holograms are captured by an interferometer, which serves as a digital holographic scanner to scan the tissue with 3D information. T...
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Off-Axis Holographic Interferometer with Ensemble Deep Learning for Biological Tissues Identification
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TN_cdi_doaj_primary_oai_doaj_org_article_a77990d077f54b878c04b502da7824d3
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a77990d077f54b878c04b502da7824d3
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ISSN
2076-3417
E-ISSN
2076-3417
DOI
10.3390/app122412674
