Histogram-based approach for mass segmentation in mammograms

Zobia Suhail, Reyer Zwiggelaar

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion CynhadleddTrafodion Cynhadledd (Nid-Cyfnodolyn fathau)

2 Dyfyniadau (Scopus)


Segmentation of abnormalities in mammographic images has been a challenge due to poor contrast between the abnormality and surrounding area. In general Computer Aided Diagnostic (CAD) systems are composed of three major step: i.e segmentation followed by feature extraction and classification. The ultimate results of CAD systems are strongly influenced by the results of segmentation, as poor segmentation leads to incorrect features being extracted and ultimately incorrect classification. In this paper we propose a novel method for the segmentation of masses in mammographic images by using a simple method based on the information provided in histograms. After applying some preprocessing on the mammographic images in order to smooth the image histograms, optimal threshold values were obtained for each mammogram which can deal with uni-modal and bi-modal histograms. Segmentation results show an improved area for the mammogram masses, representing the true shapes of the abnormalities. We tested our algorithm on 233 benign and 233 malignant abnormalities. Results are in line with state of the art methods.

Iaith wreiddiolSaesneg
Teitl15th International Workshop on Breast Imaging, IWBI 2020
GolygyddionHilde Bosmans, Nicholas Marshall, Chantal Van Ongeval
ISBN (Electronig)9781510638310
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 22 Mai 2020
Digwyddiad15th International Workshop on Breast Imaging, IWBI 2020 - Leuven, Gwlad Belg
Hyd: 25 Mai 202027 Mai 2020

Cyfres gyhoeddiadau

EnwProceedings of SPIE - The International Society for Optical Engineering
ISSN (Argraffiad)0277-786X
ISSN (Electronig)1996-756X


Cynhadledd15th International Workshop on Breast Imaging, IWBI 2020
Gwlad/TiriogaethGwlad Belg
Cyfnod25 Mai 202027 Mai 2020

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