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Classification of Microcalcification Clusters in Digital Mammograms Using a Stack Generalization Based Classifier

1
Department of Computer Science, Aberystwyth University, Aberystwyth SY23 3DB, UK
2
Norfolk and Norwich University Hospital, Norwich NR4 7UY, UK
*
Author to whom correspondence should be addressed.
The submitted paper is an extended version of the 22nd Medical Image Understanding and Analysis (MIUA) Conference Paper.
Received: 7 August 2019 / Revised: 7 September 2019 / Accepted: 9 September 2019 / Published: 12 September 2019
(This article belongs to the Special Issue Medical Image Understanding and Analysis 2018)
This paper presents a machine learning based approach for the discrimination of malignant and benign microcalcification (MC) clusters in digital mammograms. A series of morphological operations was carried out to facilitate the feature extraction from segmented microcalcification. A combination of morphological, texture, and distribution features from individual MC components and MC clusters were extracted and a correlation-based feature selection technique was used. The clinical relevance of the selected features is discussed. The proposed method was evaluated using three different databases: Optimam Mammography Image Database (OMI-DB), Digital Database for Screening Mammography (DDSM), and Mammographic Image Analysis Society (MIAS) database. The best classification accuracy ( 95.00 ± 0.57 %) was achieved for OPTIMAM using a stack generalization classifier with 10-fold cross validation obtaining an A z value equal to 0.97 ± 0.01 . View Full-Text
Keywords: digital mammogram; microcalcification; stack generalization; classification; morphological features digital mammogram; microcalcification; stack generalization; classification; morphological features
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MDPI and ACS Style

Alam, N.; R. E. Denton, E.; Zwiggelaar, R. Classification of Microcalcification Clusters in Digital Mammograms Using a Stack Generalization Based Classifier. J. Imaging 2019, 5, 76. https://0-doi-org.brum.beds.ac.uk/10.3390/jimaging5090076

AMA Style

Alam N, R. E. Denton E, Zwiggelaar R. Classification of Microcalcification Clusters in Digital Mammograms Using a Stack Generalization Based Classifier. Journal of Imaging. 2019; 5(9):76. https://0-doi-org.brum.beds.ac.uk/10.3390/jimaging5090076

Chicago/Turabian Style

Alam, Nashid, Erika R. E. Denton, and Reyer Zwiggelaar. 2019. "Classification of Microcalcification Clusters in Digital Mammograms Using a Stack Generalization Based Classifier" Journal of Imaging 5, no. 9: 76. https://0-doi-org.brum.beds.ac.uk/10.3390/jimaging5090076

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