Three-Dimensional Computer-Aided Detection of Microcalcification Clusters in Digital Breast Tomosynthesis

We propose computer-aided detection (CADe) algorithm for microcalcification (MC) clusters in reconstructed digital breast tomosynthesis (DBT) images. The algorithm consists of prescreening, MC detection, clustering, and false-positive (FP) reduction steps. The DBT images containing the MC-like objec...

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Detalles Bibliográficos
Autores principales: Jeong, Ji-wook, Chae, Seung-Hoon, Chae, Eun Young, Kim, Hak Hee, Choi, Young-Wook, Lee, Sooyeul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4870350/
https://www.ncbi.nlm.nih.gov/pubmed/27274993
http://dx.doi.org/10.1155/2016/8651573

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4870350/
https://www.ncbi.nlm.nih.gov/pubmed/27274993
http://dx.doi.org/10.1155/2016/8651573

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