Breast Parenchymal Pattern Analysis in Digital Mammography: Associations between Tabár and Birads Tissue Compositions

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

1 Dyfyniad (Scopus)

Crynodeb

We investigated the associations between Tabár based breast parenchymal patterns and Birads density parenchymal patterns in digital mammography. Breast parenchymal texture was analysed on a set of mammographc images segmented based on Tabár tissue modelling. Visual assessment indicates good and anatomically improved segmentation on tissue specific areas. At the tissue modelling stage, over and/or under training can cause tissue composition fluctuation between nodular and homogeneous tissue, whilst the percentages of radiolucent tissue are less sensitive to the algorithm’s parameter configurations. The clear depiction with digital mammography allows a better segmentation on tissue specific areas, which indicates that the breast parenchymal texture may be utilised in mammographic interpretation as the new technology advances further. The average tissue compositions for the Tabár parenchymal patterns show inadequate compositions of nodular and homogeneous tissue. Stronger associates were found between Tabár tissue compositions for [nodular, homogeneous], [nodular, homogeneous, radiolucent] and Birads breast density classes I and IV.
Iaith wreiddiolSaesneg
TeitlComputer Analysis of Images and Patterns - 15th International Conference, CAIP 2013, Proceedings
Is-deitl15th International Conference, CAIP 2013, York, UK, August 27-29, 2013, Proceedings, Part II
GolygyddionRichard Wilson, Edwin Hancock, Adrian Bors, William Smith
CyhoeddwrSpringer Nature
Tudalennau386-393
Nifer y tudalennau8
ArgraffiadPART 2
ISBN (Electronig)978-3-642-40246-3
ISBN (Argraffiad)978-3-642-40245-6
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 07 Awst 2013

Cyfres gyhoeddiadau

EnwLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
RhifPART 2
Cyfrol8048 LNCS
ISSN (Argraffiad)0302-9743
ISSN (Electronig)1611-3349

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