Automated detection of tuberculosis in Ziehl-Neelsen-stained sputum smears using two one-class classifiers

Author:

KHUTLANG R.,KRISHNAN S.,WHITELAW A.,DOUGLAS T. S.

Publisher

Wiley

Subject

Histology,Pathology and Forensic Medicine

Reference19 articles.

1. Novelty detection and neural network validation;Bishop;IEE Proc. Vis., Image Signal Process.,1994

2. Automatic identification of Mycobacterium Tuberculosis by Gaussian mixture models;Forero;J. Microsc.,2006

3. An enhanced subspace method for face recognition;Franco;Pattern Recognit. Lett.,2006

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