Label-free analysis of Oral Cytology Specimens through Digital Holographic Microscopy and Deep-Neural Networks

Panta, Prashanth and Ram, G Hanu Phani and John, Renu (2019) Label-free analysis of Oral Cytology Specimens through Digital Holographic Microscopy and Deep-Neural Networks. In: Digital Holography and Three-Dimensional Imaging 2019, 19–23 May 2019, Bordeaux, France.

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Abstract

‘Oral cytology’ is a potential strategy for early detection of oral cancers. The present work utilizes Deep Convolutional Neural Network (D-CNN) based classification model to detect normal and malignant cytological changes in Digital Holographic Microscopy (DHM) images of oral specimens.

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IITH Creators:	IITH Creators ORCiD John, Renu https://orcid.org/0000-0003-3254-2472
Item Type:	Conference or Workshop Item (Paper)
Subjects:	Biomedical Engineering
Divisions:	Department of Biomedical Engineering
Depositing User:	Team Library
Date Deposited:	29 Oct 2019 09:21
Last Modified:	29 Oct 2019 09:21
URI:	http://raiithold.iith.ac.in/id/eprint/6881
Publisher URL:	http://doi.org/10.1364/DH.2019.Th3A.11
Related URLs:	Google Scholar

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