Classification of mammorgraphic microcalcification clusters using a combination of topological and location modelling

Oluwaseun Ashiru, Reyer Zwiggelaar

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

3 Dyfyniadau (Scopus)

Crynodeb

We have investigated the classification of micro-calcification clusters in mammograms by combining two existing approaches. One of the approaches involves extracting and using topological information (connectivity) about micro-calcification clusters as feature vectors to classify them as being benign or malignant. The other approach involves extracting and using location details of micro-calcification clusters (where they appear in a breast and/or mammogram) as feature vectors to classify them as being benign or malignant. We have investigated various aspects of both methods and their combination. Our initial results, based on MIAS and DDSM indicate no significant improvement over the topological approach on its own
Iaith wreiddiolSaesneg
Teitl6th International Conference on Image Processing Theory
Is-deitlTools and Applications
GolygyddionM. Pietikainen, A. Hadid, M. B. Lopez
CyhoeddwrIEEE Press
ISBN (Argraffiad)978-146738910-5
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 17 Ion 2017
Digwyddiad6th International Conference on Image Processing Theory : Tools and Applications - Oulu, Y Ffindir
Hyd: 12 Rhag 201615 Rhag 2016

Cynhadledd

Cynhadledd6th International Conference on Image Processing Theory
Teitl crynoIPTA 2016
Gwlad/TiriogaethY Ffindir
DinasOulu
Cyfnod12 Rhag 201615 Rhag 2016

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