@inproceedings{094d7d8074ba4ffeb973a5613ce22db7,
title = "An unsupervised learning approach based on Hopfield-like network for assessing Posterior Capsule Opacification",
abstract = "Posterior Capsule Opacification (PCO) is the commonest complication of cataract surgery occurring in up to 50% of patients by 2 to 3 years after the operation [1]. This paper proposes a new approach for the assessment of PCO digital images. The approach deploys an unsupervised learning technique for clustering image pixels into different regions based on chromatic attributes. The innovation aspect of this paper, is proposing the number of regions in a clustered image as measurement tool for assessing the PCO. The approach exhibits robustness and stability that would contribute in providing a systematic and objective assessment.",
author = "Naoufel Werghi and Rachid Sammouda and {Al Kirbi}, Fatma",
year = "2007",
language = "British English",
isbn = "9784901122078",
series = "Proceedings of IAPR Conference on Machine Vision Applications, MVA 2007",
pages = "416--419",
booktitle = "Proceedings of IAPR Conference on Machine Vision Applications, MVA 2007",
note = "10th IAPR Conference on Machine Vision Applications, MVA 2007 ; Conference date: 16-05-2007 Through 18-05-2007",
}