Mammographic mass segmentation using fuzzy contours.
Identifieur interne : 000487 ( Main/Exploration ); précédent : 000486; suivant : 000488Mammographic mass segmentation using fuzzy contours.
Auteurs : Marwa Hmida [France] ; Kamel Hamrouni [Tunisie] ; Basel Solaiman [France] ; Sana Boussetta [Tunisie]Source :
- Computer methods and programs in biomedicine [ 1872-7565 ] ; 2018.
Descripteurs français
- KwdFr :
- Bases de données factuelles (statistiques et données numériques), Diagnostic assisté par ordinateur (méthodes), Diagnostic assisté par ordinateur (statistiques et données numériques), Femelle (MeSH), Humains (MeSH), Interprétation d'images radiographiques assistée par ordinateur (méthodes), Interprétation d'images radiographiques assistée par ordinateur (statistiques et données numériques), Logique floue (MeSH), Mammographie (méthodes), Mammographie (statistiques et données numériques), Tumeurs du sein (imagerie diagnostique).
- MESH :
- imagerie diagnostique : Tumeurs du sein.
- méthodes : Diagnostic assisté par ordinateur, Interprétation d'images radiographiques assistée par ordinateur, Mammographie.
- statistiques et données numériques : Bases de données factuelles, Diagnostic assisté par ordinateur, Interprétation d'images radiographiques assistée par ordinateur, Mammographie.
- Femelle, Humains, Logique floue.
English descriptors
- KwdEn :
- Breast Neoplasms (diagnostic imaging), Databases, Factual (statistics & numerical data), Diagnosis, Computer-Assisted (methods), Diagnosis, Computer-Assisted (statistics & numerical data), Female (MeSH), Fuzzy Logic (MeSH), Humans (MeSH), Mammography (methods), Mammography (statistics & numerical data), Radiographic Image Interpretation, Computer-Assisted (methods), Radiographic Image Interpretation, Computer-Assisted (statistics & numerical data).
- MESH :
- diagnostic imaging : Breast Neoplasms.
- methods : Diagnosis, Computer-Assisted, Mammography, Radiographic Image Interpretation, Computer-Assisted.
- statistics & numerical data : Databases, Factual, Diagnosis, Computer-Assisted, Mammography, Radiographic Image Interpretation, Computer-Assisted.
- Female, Fuzzy Logic, Humans.
Abstract
BACKGROUND AND OBJECTIVE
Accurate mass segmentation in mammographic images is a critical requirement for computer-aided diagnosis systems since it allows accurate feature extraction and thus improves classification precision.
METHODS
In this paper, a novel automatic breast mass segmentation approach is presented. This approach consists of mainly three stages: contour initialization applied to a given region of interest; construction of fuzzy contours and estimation of fuzzy membership maps of different classes in the considered image; integration of these maps in the Chan-Vese model to get a fuzzy-energy based model that is used for final delineation of mass.
RESULTS
The proposed approach is evaluated using mass regions of interest extracted from the mini-MIAS database. The experimental results show that the proposed method achieves an average true positive rate of 91.12% with a precision of 88.08%.
CONCLUSIONS
The achieved results show high accuracy in breast mass segmentation when compared to manually annotated ground truth and to other methods from the literature.
DOI: 10.1016/j.cmpb.2018.07.005
PubMed: 30195421
Affiliations:
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Le document en format XML
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<term>Diagnosis, Computer-Assisted (statistics & numerical data)</term>
<term>Female (MeSH)</term>
<term>Fuzzy Logic (MeSH)</term>
<term>Humans (MeSH)</term>
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<term>Diagnostic assisté par ordinateur (statistiques et données numériques)</term>
<term>Femelle (MeSH)</term>
<term>Humains (MeSH)</term>
<term>Interprétation d'images radiographiques assistée par ordinateur (méthodes)</term>
<term>Interprétation d'images radiographiques assistée par ordinateur (statistiques et données numériques)</term>
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<term>Interprétation d'images radiographiques assistée par ordinateur</term>
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<front><div type="abstract" xml:lang="en"><p><b>BACKGROUND AND OBJECTIVE</b>
</p>
<p>Accurate mass segmentation in mammographic images is a critical requirement for computer-aided diagnosis systems since it allows accurate feature extraction and thus improves classification precision.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>METHODS</b>
</p>
<p>In this paper, a novel automatic breast mass segmentation approach is presented. This approach consists of mainly three stages: contour initialization applied to a given region of interest; construction of fuzzy contours and estimation of fuzzy membership maps of different classes in the considered image; integration of these maps in the Chan-Vese model to get a fuzzy-energy based model that is used for final delineation of mass.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>RESULTS</b>
</p>
<p>The proposed approach is evaluated using mass regions of interest extracted from the mini-MIAS database. The experimental results show that the proposed method achieves an average true positive rate of 91.12% with a precision of 88.08%.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>CONCLUSIONS</b>
</p>
<p>The achieved results show high accuracy in breast mass segmentation when compared to manually annotated ground truth and to other methods from the literature.</p>
</div>
</front>
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