Markovian Approach to Automatic Annotation of Breast Mass Spicules Using an A Contrario Model

Sègbédji Goubalan 1, 2 Yves Goussard 2 Hichem Maaref 1
1 IBISC - Informatique, Biologie Intégrative et Systèmes Complexes
2 EPM - École Polytechnique de Montréal
Abstract : In this paper, we propose a new method for automatic extraction of breast mass spicules in 2-D mammography. Spicules are abnormal curvilinear structures which characterize most of malignant breast masses. They are important features for discrimination between benign and malignant masses. In our method, the curvilinear structures are first approximated by line segments derived from localized Radon transforms; then, the Markov random field is used to take into account the local interactions via the contextual information between these segments. Finally, detection of the curvilinear structures that most likely correspond to spicules is performed using an a contrario framework. Validation of the approach was performed on a large dataset of spiculated masses which were selected from a public digital database; the results showed a high agreement with manually annotated mammograms.
Keywords : A contrario detection Breast Localized radon transform Markov random field Spicules
Document type :
Conference papers
Complete list of metadatas
https://hal.archives-ouvertes.fr/hal-01367634
Contributor : Frédéric Davesne <>
Submitted on : Friday, September 16, 2016 - 2:48:01 PM
Last modification on : Monday, October 28, 2019 - 10:50:22 AM

Identifiers

Collections

IBISC | IBISC-SIBI | UNIV-EVRY | UNIV-PARIS-SACLAY

Citation

Sègbédji Goubalan, Yves Goussard, Hichem Maaref. Markovian Approach to Automatic Annotation of Breast Mass Spicules Using an A Contrario Model. 13th International Workshop on Breast Imaging (IWDM 2016), Jun 2016, Malmo, Sweden. pp.461--468, ⟨10.1007/978-3-319-41546-8_58⟩. ⟨hal-01367634⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

88

Contact

Informations

CCSD