This paper presents a computer-aided diagnosis technique for improving the accuracy of the early diagnosis of the Alzheimer type dementia. The proposed methodology is based on the selection of those voxels which present a greater difference between normals and Alzheimer's type dementia patients. The mean value of the intensities of the selected voxels are used as features for different classifiers. The proposed methodology reaches an accuracy of 89% in the classification task. © 2009 Springer Berlin Heidelberg.
CITATION STYLE
Salas-Gonzalez, D., Górriz, J. M., Ramírez, J., Álvarez, I., López, M., Segovia, F., & Puntonet, C. G. (2009). Selecting regions of interest for the diagnosis of alzheimer using brain SPECT images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5553 LNCS, pp. 399–406). https://doi.org/10.1007/978-3-642-01513-7_43
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