Izvorni znanstveni članak

https://doi.org/10.17559/TV-20181221151205

Segmentation and Classification of Bi-Rads Medical Images with the Imaging Biomarkers According To Level of Detail

Ratko Ivković orcid.org/0000-0002-6557-4553 ; University of Priština, Faculty of Technical Sciences, Kneza Miloša 7, Kosovska Mitrovica, Serbia
Mile Petrović ; University of Priština, Faculty of Technical Sciences, Kneza Miloša 7, Kosovska Mitrovica, Serbia
Branislav Daković ; KBC „Dr Dragiša Mišović-Dedinje“, Heroja Milana Tepića 1, Beograd, Srbija
Branimir Jakšić orcid.org/0000-0001-6683-0021 ; University of Priština, Faculty of Technical Sciences, Kneza Miloša 7, Kosovska Mitrovica, Serbia
Ivana Milošević ; The School of Electrical and Computer Engineering, Audio and video technologies Vojvode Stepe 283, Belgrade, Serbia

Sažetak

Segmentation is one of the latest directions of digital imaging development, presented by partial segments which are parts of the same image. The currently used algorithms are rare and far from ideal. Depending on the situation, algorithms behave differently, so it is almost impossible to single out a unique conclusion. This paper gives a proposal for new segmentation techniques with the help of Imaging Biomarkers for the digital image processing with auxiliary Hybrid edge detection algorithm and especially a defined threshold of detection. Matlab software is used for giving a particular conceptual design of a partial display of images and for correlating adequate numerical methods of digital processing. The study results confirm the quality of the proposed algorithm and position it for practical use in classification of BI-RADS breasts classified by density.

Ključne riječi

BI-RADS medical images; digital Image; imaging biomarkers; level of detail; segmentation

Hrčak ID:

236808

URI

https://hrcak.srce.hr/236808

Datum izdavanja:

15.4.2020.

Posjeta: 969 *