Fully Connected Visual Words for the Classification of Skin Cancer Confocal Images

Athanasios Kallipolitis, Ilias Maglogiannis

2020

Abstract

Reflectance Confocal Microscopy (RCM) is an ancillary, non-invasive method for reviewing horizontal sections from areas of interest of the skin at a high resolution. In this paper, we propose a method based on the exploitation of Bag of Visual Words (BOVW) technique, coupled with a plain neural network to classify extracted information into discrete patterns of skin cancer types. The paper discusses the technical details of implementation, while providing promising initial results that reach 90% accuracy. Automated classification of RCM images can lead to the establishment of a reliable procedure for the assessment of skin cancer cases and the training of medical personnel through the quantization of image content. Moreover, early detected benign tumours can reduce significantly the number of time and resource consuming biopsies.

Paper Citation

in Harvard Style

Kallipolitis A. and Maglogiannis I. (2020). Fully Connected Visual Words for the Classification of Skin Cancer Confocal Images. In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 5: VISAPP; ISBN 978-989-758-402-2, SciTePress, pages 853-858. DOI: 10.5220/0009328808530858

in Bibtex Style

@conference{visapp20,
author={Athanasios Kallipolitis and Ilias Maglogiannis},
title={Fully Connected Visual Words for the Classification of Skin Cancer Confocal Images},
booktitle={Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 5: VISAPP},
year={2020},
pages={853-858},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009328808530858},
isbn={978-989-758-402-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 5: VISAPP
TI - Fully Connected Visual Words for the Classification of Skin Cancer Confocal Images
SN - 978-989-758-402-2
AU - Kallipolitis A.
AU - Maglogiannis I.
PY - 2020
SP - 853
EP - 858
DO - 10.5220/0009328808530858
PB - SciTePress