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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Bibliographic Details
Main Authors: Hao Jing, Yongyi Yang, Robert M. Nishikawa
Format: Article
Language:English
Published: Wiley 2012-01-01
Series:International Journal of Biomedical Imaging
Online Access:http://dx.doi.org/10.1155/2012/463408
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