6533b873fe1ef96bd12d5f7e

RESEARCH PRODUCT

Lesion Segmentation in Breast Sonography

Arnau OliverJoan MartíJoan MassichElsa PérezFabrice MeriaudeauRobert Martí

subject

Ground truthmedicine.medical_specialtyLesion segmentationDigital mammographybusiness.industryBreast lesionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONmedicine.diseaseBreast sonographyBreast cancerFully automaticmedicineComputer visionSegmentationRadiologyArtificial intelligencebusiness

description

Sonography is gaining popularity as an adjunct screening technique for assessing abnormalities in the breast This is particularly true in cases where the subject has dense breast tissue, wherein widespread techniques like Digital Mammography (DM) fail to produce reliable outcomes This article proposes a novel and fully automatic methodology for breast lesion segmentation in B-mode Ultra-Sound (US) images by utilizing region, boundary and shape information to cope up with the inherent artifacts present in US images The proposed approach has been evaluated using a set of sonographic images with accompanying expert-provided ground truth.

yearjournalcountryeditionlanguage
2010-01-01
https://doi.org/10.1007/978-3-642-13666-5_6