A Novel Cascade Classifier for Automatic Microcalcification Detection

In this paper, we present a novel cascaded classification framework for automatic detection of individual and clusters of microcalcifications (μC). Our framework comprises three classification stages: i) a random forest (RF) classifier for simple features capturing the second order local structure o...

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Detalles Bibliográficos
Autores principales: Shin, Seung Yeon, Lee, Soochahn, Yun, Il Dong, Jung, Ho Yub, Heo, Yong Seok, Kim, Sun Mi, Lee, Kyoung Mu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4668028/
https://www.ncbi.nlm.nih.gov/pubmed/26630496
http://dx.doi.org/10.1371/journal.pone.0143725

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4668028/
https://www.ncbi.nlm.nih.gov/pubmed/26630496
http://dx.doi.org/10.1371/journal.pone.0143725

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