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

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 m...

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Detalles Bibliográficos
Autores principales: Alam, Nashid, R. E. Denton, Erika, Zwiggelaar, Reyer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8320960/
https://www.ncbi.nlm.nih.gov/pubmed/34460670
http://dx.doi.org/10.3390/jimaging5090076

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8320960/
https://www.ncbi.nlm.nih.gov/pubmed/34460670
http://dx.doi.org/10.3390/jimaging5090076

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