1. bookAHEAD OF PRINT
Journal Details
License
Format
Journal
eISSN
2286-2455
First Published
16 Apr 2016
Publication timeframe
2 times per year
Languages
English
access type Requires Authentication

Evaluation of Binarization Algorithms in Preprocessing of Digital Mammographies

Published Online: 02 Nov 2016
Volume & Issue: AHEAD OF PRINT
Page range: -
Journal Details
License
Format
Journal
eISSN
2286-2455
First Published
16 Apr 2016
Publication timeframe
2 times per year
Languages
English
Abstract

Digital mammograms are a useful tool for breast cancer detection. The quality of digital mammogram image can have a negative effect on the computer-aided diagnosis system. We investigate the use of automatic image thresholding methods for microcalcification detection in mammographic images. Experimental results on the BI-RADS 4 images dataset confirm the proposed approach.

Keywords

[1] Kopans DB. Breast imaging. 3rd ed. Philadelphia: Lippincott Williams & Wilkins; 2007.Search in Google Scholar

[2] Kwon HJ, Shin BH, Gopaul D, Fienberg S. Strain ratio vs. modulus ratio for the diagnosis of breast cancer using elastography. Biomed Eng Lett. 2014; 4(3):292-300.10.1007/s13534-014-0146-ySearch in Google Scholar

[3] Popescu D., Ichim L., Caramihale T., Computer – Aided Localization of the Optic Disc Based on Textural Features. 9th International Symposium On Advanced Topics In Electrical Engineering, May 7-9, 2015, Bucharest, Romania, pp.307-312;10.1109/ATEE.2015.7133820Search in Google Scholar

[4] Popescu D., Ichim L., Caramihale T., Texture Based Method for Automated Detection, Localization and Evaluation of the Exudates in Retinal Images. Springer International Publishing Switzerland 2015 S. Arik et al. (Eds.): ICONIP 2015, Part IV, LNCS 9492, pp. 463–472, 2015.10.1007/978-3-319-26561-2_55Search in Google Scholar

[5] Evans JA, Screening mammography breast cancer diagnosis in asymptomatic women: Scane, Potchen, Sierra, Azavedo. 1993 Mosby. pp 546. ISBN 0-8016-6488-8Search in Google Scholar

[6] Juana Canul-Reich, Omar Trinidad Gutiérrez Méndez, A New Collection of Preprocessed Digital Mammograms, 12th Mexican International Conference on Artificial Intelligence, MICAI 2013, Mexico City, Mexico, November 24-30, 2013, Proceedings, Part I, pp 570-581, Publisher Springer Berlin Heidelberg, ISBN 978-3-642-45113-3, 2013Search in Google Scholar

[7] BI-RADS classification, http://breast-cancer.ca/bi-rads/.Search in Google Scholar

[8] Parker J.R., Algorithms for Image Processing and Computer Vision, Publiser: John and Wiley Sons, New York, 1997Search in Google Scholar

[9] Otsu N., A threshold Selection Method from Gray-Level Histogram, IEEE Trans. On Systems, Man and Cybernetics, Vol. 9, p. 377-393, 197910.1109/TSMC.1979.4310076Search in Google Scholar

[10] Ridler TW, Calvard S. (1978) Picture thresholding using an iterative selection method, IEEE Trans. System, Man and Cybernetics, SMC-8: 630-632.Search in Google Scholar

[11] Matlab software, http://www.mathworks.comSearch in Google Scholar

[12] Popescu D., Predusca G., Angelescu N., Algoritmi pentru prelucrarea semnalelor numerice, Ed. Electra, Bucureşti, ISBN 973-8067-97-9, 2003Search in Google Scholar

[13] Coltuc D., Caciula I., Coanda H., Color Stereo Embedding by Reversible Watermarking, 3rd International Symposium on Electrical and Electronics Engineering (ISEEE), pp. 256-259, ISBN 978-1-4244-8409-6, 201010.1109/ISEEE.2010.5628504Search in Google Scholar

Recommended articles from Trend MD

Plan your remote conference with Sciendo