@inproceedings{995aa23e79bf40099ea35f28c4060dbe,
title = "Lacunarity-based inherent texture correlation approach for wireless capsule endoscopy image analysis",
abstract = "Wireless capsule endoscopy (WCE) is a novel technology that offers non-invasive visual inspection of the digestive tract (DT) and especially small bowel. However, the revision of the large amount of images produced is highly timeconsuming and prone to human error. This weakness was the rationale to propose a novel strategy for automatic detection of WCE images related to ulcer, one of the most common findings of DT. This paper introduces a new texture extraction method based on the inherent texture correlation measure and lacunarity index. WCE data are pre-processed with Bidimensional Ensemble Empirical Mode Decomposition to reveal their congenital structure primitives, and also to adaptively reconstruct new refined images. Classification results demonstrated promising classification accuracy (89.1%) exhibiting high potential towards further research in this field.",
keywords = "Feature extraction, Multiscale analysis, Ulcer",
author = "Charisis, {V. S.} and Hadjileontiadis, {L. J.} and Sergiadis, {G. D.}",
year = "2014",
doi = "10.1007/978-3-319-00846-2_74",
language = "British English",
isbn = "9783319008455",
series = "IFMBE Proceedings",
publisher = "Springer Verlag",
pages = "297--300",
booktitle = "13th Mediterranean Conference on Medical and Biological Engineering and Computing 2013 - MEDICON 2013",
address = "Germany",
note = "13th Mediterranean Conference on Medical and Biological Engineering and Computing 2013, MEDICON 2013 ; Conference date: 25-09-2013 Through 28-09-2013",
}