Regularization in Retrieval-Driven Classification of Clustered Microcalcifications for Breast Cancer

We propose a regularization based approach for case-adaptive classification in computer-aided diagnosis (CAD) of breast cancer. The goal is to improve the classification accuracy on a query case by making use of a set of similar cases retrieved from an existing library of known cases. In the propose...

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Detalles Bibliográficos
Autores principales: Jing, Hao, Yang, Yongyi, Nishikawa, Robert M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2012
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3418652/
https://www.ncbi.nlm.nih.gov/pubmed/22919363
http://dx.doi.org/10.1155/2012/463408

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3418652/
https://www.ncbi.nlm.nih.gov/pubmed/22919363
http://dx.doi.org/10.1155/2012/463408

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