Automatic classification of medical X‐ray images: hybrid generative‐discriminative approach

Author:

Reza Zare Mohammad1,Mueen Ahmed2,Awedh Mohammad3,Chaw Seng Woo1

Affiliation:

1. Faculty of Computer Science and Information TechnologyUniversity of MalayaMalaysia

2. Department of Computer and Information TechnologyKing Abdulaziz UniversityJeddahSaudi Arabia

3. Faculty of EngineeringKing Abdulaziz UniversityJeddahSaudi Arabia

Funder

Department of Sport and Recreation, Government of Western Australia

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference40 articles.

1. 2002 Proc. SPIE Int. Symp. Medical Imaging M.O. Güld M. Kohnen D. Keysers Quality of dicom header information for image categorization 280 287

2. 2007 Working Notes of the 2007 CLEF Workshop H. Müller T. Deselaers E. Kim Overview of the ImageCLEFmed 2007 medical retrieval and annotation tasks

3. 2003 Proc. SPIE T.M. Lehmann H. Schubert D. Keysers M. Kohnen B.B. Wein The IRMA code for unique classification of medical images 440 451

4. Automatic categorization of medical images for content‐based retrieval and data mining;Lehmann T.M.;Comput. Med. Imaging Graph.,2005

5. Retrieval and classification of ultrasound images of ovarian cysts combining texture features and histogram moments;Sohail A.S.M.;IEEE Int. Symp. Biomedical Imaging from Nano to Macro,2010

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