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Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/16770
Title: Cholangiocarcinoma Classification Using Semi-Supervised Learning Approach
Authors: Sikhakolli, Sravan Kumar
Aala, Suresh
Chinnadurai, Sunil
Muniraj, Inbarasan
Deshpande, Anuj
Keywords: Adversarial Machine Learning
Contrastive Learning
Federated Learning
Semi-Supervised Learning
Cholangiocarcinoma
Issue Date: 2024
Publisher: Optica Imaging Congress 2024 (3D, AOMS, COSI, ISA, pcAOP)
Optical Society of America
Abstract: This article introduces a novel semi-supervised learning method for Cholangiocarcinoma detection using inherent statistical parameters of the image on the multidimensional Choledochal dataset. Results closely match the pathologist’s annotations, validated by image similarity indices. © 2024 The Author(s).
URI: https://opg.optica.org/abstract.cfm?URI=3D-2024-DW3H.3
https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/16770
ISBN: 9781957171371
Appears in Collections:Conference Papers

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