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 |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.