Cholangiocarcinoma Classification Using Semi-Supervised Learning Approach

Publications

Cholangiocarcinoma Classification Using Semi-Supervised Learning Approach

Author : Dr Anuj Deshpande, Dr Sunil Chinnadurai

Year : 2024

Publisher : Optical Society of America

Source Title : 3D Image Acquisition and Display: Technology, Perception and Applications, 3D 2024 in Proceedings Optica Imaging Congress 2024, 3D, AOMS, COSI, ISA, pcAOP - Part of Optica Imaging Congress

Document Type : Conference paper

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https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85204910722&origin=inward

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.