Segmentation and Classification of Bi-Rads Medical Images with the Imaging Biomarkers According To Level of Detail
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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek
2020-01-01
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| Series: | Tehnički Vjesnik |
| Subjects: | |
| Online Access: | https://hrcak.srce.hr/file/343922 |
| _version_ | 1797207291336851456 |
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| author | Ratko Ivković Mile Petrović Branislav Daković Branimir Jakšić Ivana Milošević |
| author_facet | Ratko Ivković Mile Petrović Branislav Daković Branimir Jakšić Ivana Milošević |
| author_sort | Ratko Ivković |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-24T09:20:34Z |
| format | Article |
| id | doaj.art-a22f31bd3b1f4a7880578698f75d2194 |
| institution | Directory Open Access Journal |
| issn | 1330-3651 1848-6339 |
| language | English |
| last_indexed | 2024-04-24T09:20:34Z |
| publishDate | 2020-01-01 |
| publisher | Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek |
| record_format | Article |
| series | Tehnički Vjesnik |
| spelling | doaj.art-a22f31bd3b1f4a7880578698f75d21942024-04-15T16:08:45ZengFaculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in OsijekTehnički Vjesnik1330-36511848-63392020-01-0127252753410.17559/TV-20181221151205Segmentation and Classification of Bi-Rads Medical Images with the Imaging Biomarkers According To Level of DetailRatko Ivković0Mile Petrović1Branislav Daković2Branimir Jakšić3Ivana Milošević4University of Priština, Faculty of Technical Sciences, Kneza Miloša 7, Kosovska Mitrovica, SerbiaUniversity of Priština, Faculty of Technical Sciences, Kneza Miloša 7, Kosovska Mitrovica, SerbiaKBC „Dr Dragiša Mišović-Dedinje“, Heroja Milana Tepića 1, Beograd, SrbijaUniversity of Priština, Faculty of Technical Sciences, Kneza Miloša 7, Kosovska Mitrovica, SerbiaThe School of Electrical and Computer Engineering, Audio and video technologies Vojvode Stepe 283, Belgrade, SerbiaSegmentation 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.https://hrcak.srce.hr/file/343922BI-RADS medical imagesdigital Imageimaging biomarkerslevel of detailsegmentation |
| spellingShingle | Ratko Ivković Mile Petrović Branislav Daković Branimir Jakšić Ivana Milošević Segmentation and Classification of Bi-Rads Medical Images with the Imaging Biomarkers According To Level of Detail Tehnički Vjesnik BI-RADS medical images digital Image imaging biomarkers level of detail segmentation |
| title | Segmentation and Classification of Bi-Rads Medical Images with the Imaging Biomarkers According To Level of Detail |
| title_full | Segmentation and Classification of Bi-Rads Medical Images with the Imaging Biomarkers According To Level of Detail |
| title_fullStr | Segmentation and Classification of Bi-Rads Medical Images with the Imaging Biomarkers According To Level of Detail |
| title_full_unstemmed | Segmentation and Classification of Bi-Rads Medical Images with the Imaging Biomarkers According To Level of Detail |
| title_short | Segmentation and Classification of Bi-Rads Medical Images with the Imaging Biomarkers According To Level of Detail |
| title_sort | segmentation and classification of bi rads medical images with the imaging biomarkers according to level of detail |
| topic | BI-RADS medical images digital Image imaging biomarkers level of detail segmentation |
| url | https://hrcak.srce.hr/file/343922 |
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