Mutual information based feature selection for medical image retrieval

Lijia Zhi; Shaomin Zhang; Yan Li

doi:10.1117/12.2302663

10 April 2018 Mutual information based feature selection for medical image retrieval

Lijia Zhi, Shaomin Zhang, Yan Li

Proceedings Volume 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017); 1061519 (2018) https://doi.org/10.1117/12.2302663
Event: Ninth International Conference on Graphic and Image Processing, 2017, Qingdao, China

Abstract

In this paper, authors propose a mutual information based method for lung CT image retrieval. This method is designed to adapt to different datasets and different retrieval task. For practical applying consideration, this method avoids using a large amount of training data. Instead, with a well-designed training process and robust fundamental features and measurements, the method in this paper can get promising performance and maintain economic training computation. Experimental results show that the method has potential practical values for clinical routine application.

Citation Download Citation

Lijia Zhi, Shaomin Zhang, and Yan Li "Mutual information based feature selection for medical image retrieval", Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 1061519 (10 April 2018); https://doi.org/10.1117/12.2302663

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