Automatic Separation of Basal Cell Carcinoma from Benign Lesions in Dermoscopy Images with Border Thresholding Techniques

Nabin K. Mishra, Ravneet Kaur, Reda Kasmi, Serkan Kefel, Pelin Guvenc, Justin G. Cole, Jason R. Hagerty, Hemanth Y. Aradhyula, Robert LeAnder, R. Joe Stanley, Randy H. Moss, William V. Stoecker

2017

Abstract

Basal cell carcinoma (BCC), with an incidence in the US exceeding 2.7 million cases/year, exacts a significant toll in morbidity and financial costs. Earlier BCC detection via automatic analysis of dermoscopy images could reduce the need for advanced surgery. In this paper, automatic diagnostic algorithms are applied to images segmented by five thresholding segmentation routines. Experimental results for five new thresholding routines are compared to expert-determined borders. Logistic regression analysis shows that thresholding segmentation techniques yield diagnostic accuracy that is comparable to that obtained with manual borders. The experimental results obtained with algorithms applied to automatically segmented lesions demonstrate significant potential for the new machine vision techniques.

Paper Citation

in Harvard Style

K. Mishra N., Kaur R., Kasmi R., Kefel S., Guvenc P., G. Cole J., R. Hagerty J., Y. Aradhyula H., LeAnder R., Joe Stanley R., H. Moss R. and V. Stoecker W. (2017). Automatic Separation of Basal Cell Carcinoma from Benign Lesions in Dermoscopy Images with Border Thresholding Techniques . In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2017) ISBN 978-989-758-225-7, pages 115-123. DOI: 10.5220/0006173601150123

in Bibtex Style

@conference{visapp17,
author={Nabin K. Mishra and Ravneet Kaur and Reda Kasmi and Serkan Kefel and Pelin Guvenc and Justin G. Cole and Jason R. Hagerty and Hemanth Y. Aradhyula and Robert LeAnder and R. Joe Stanley and Randy H. Moss and William V. Stoecker},
title={Automatic Separation of Basal Cell Carcinoma from Benign Lesions in Dermoscopy Images with Border Thresholding Techniques},
booktitle={Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2017)},
year={2017},
pages={115-123},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006173601150123},
isbn={978-989-758-225-7},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2017)
TI - Automatic Separation of Basal Cell Carcinoma from Benign Lesions in Dermoscopy Images with Border Thresholding Techniques
SN - 978-989-758-225-7
AU - K. Mishra N.
AU - Kaur R.
AU - Kasmi R.
AU - Kefel S.
AU - Guvenc P.
AU - G. Cole J.
AU - R. Hagerty J.
AU - Y. Aradhyula H.
AU - LeAnder R.
AU - Joe Stanley R.
AU - H. Moss R.
AU - V. Stoecker W.
PY - 2017
SP - 115
EP - 123
DO - 10.5220/0006173601150123