Effective diagnosis of Alzheimer’s disease by means of large margin-based methodology

Author:

Chaves Rosa, ,Ramírez Javier,Górriz Juan M,Illán Ignacio A,Gómez-Río Manuel,Carnero Cristobal

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Health Policy,Computer Science Applications

Reference62 articles.

1. Petrella JR, Coleman RE, Doraiswamy PM: Neuroimaging and Early Diagnosis of Alzheimer’s Disease: A Look to the Future. Radiology. 2003, 226: 315-336. 10.1148/radiol.2262011600.

2. Ramírez J, Górriz JM, Salas-Gonzalez D, Romero A, López M, Illán IA, Gómez-Río M: Computer-aided diagnosis of Alzheimer’s type dementia combining support vector machines and discriminant set of features. Inf Sci. 2009, doi:10.1016/j.ins.2009.05.012

3. English RJ, Childs J (Eds): SPECT: Single-Photon Emission Computed Tomography: A Primer. 1996, Society of Nuclear Medicine

4. Hellman RS, Tikofsky RS, Collier BD, Hoffmann RG, Palmer DW, Glatt S, Antuono PG, Isitman AT, Papke RA: Alzheimer disease: quantitative analysis of I-123-iodoamphetamine SPECT brain imaging. Radiology. 1989, 172: 183-188.

5. Holman BL, Johnson KA, Gerada B, Carvalho PA, Satlin A: The Scintigraphic Appearance of Alzheimer’s Disease: A Prospective Study Using Technetium-99m-HMPAO SPECT. J Nucl Med. 1992, 33 (2): 181-185.

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