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Authors: Nabin K. Mishra 1 ; Ravneet Kaur 2 ; Reda Kasmi 3 ; Serkan Kefel 2 ; Pelin Guvenc 2 ; Justin G. Cole 1 ; Jason R. Hagerty 4 ; Hemanth Y. Aradhyula 5 ; Robert LeAnder 2 ; R. Joe Stanley 5 ; Randy H. Moss 5 and William V. Stoecker 1

Affiliations: 1 Stoecker and Associates, United States ; 2 Southern Illinois University Edwardsville, United States ; 3 University of Begaia, Algeria ; 4 Stoecker and Associates and Missouri University of Science and Technology, United States ; 5 Missouri University of Science and Technology, United States

Keyword(s): Basal Cell Carcinoma (BCC), Image Processing.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Color and Texture Analyses ; Computer Vision, Visualization and Computer Graphics ; Features Extraction ; Image and Video Analysis ; Image Enhancement and Restoration ; Image Formation and Preprocessing ; Medical Image Applications

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.

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Paper citation in several formats:
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 (VISIGRAPP 2017) - Volume 4: VISAPP; ISBN 978-989-758-225-7; ISSN 2184-4321, SciTePress, pages 115-123. DOI: 10.5220/0006173601150123

@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 (VISIGRAPP 2017) - Volume 4: VISAPP},
year={2017},
pages={115-123},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006173601150123},
isbn={978-989-758-225-7},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 4: VISAPP
TI - Automatic Separation of Basal Cell Carcinoma from Benign Lesions in Dermoscopy Images with Border Thresholding Techniques
SN - 978-989-758-225-7
IS - 2184-4321
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
PB - SciTePress

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