Learn More
Parkinsonism is the second most common neurodegenerative disorder. It includes several pathologies with similar symptoms, what makes the diagnosis really difficult. I-ioflupane allows to obtain in vivo images of the brain that can be used to assist the PS diagnosis and provides a way to improve its accuracy. In this paper a new method for brain SPECT image(More)
Keywords: Support vector machines Computer-aided diagnosis Alzheimer's type dementia Feature extraction a b s t r a c t Alzheimer's disease (AD) is the most common cause of deme ntia in the elderly and affects approximately 30 million individuals worldwide. With the growth of the older population in developed nations , the prevalence of AD is expected to(More)
Finding sensitive and appropriate technologies for early detection of the Alzheimer's disease (AD) are of fundamental importance to develop early treatments. Single Photon Emission Computed Tomography (SPECT) images are non-invasive observation tools to assist the diagnosis, commonly processed through unsupervised statistical tests, or assessed visually. In(More)
Keywords: Alzheimer's disease (AD) Computer aided diagnosis Principal component analysis (PCA) Independent component analysis (ICA) Support vector machine (SVM) Supervised learning FDG-PET a b s t r a c t Finding sensitive and appropriate technologies for non-invasive observation and early detection of Alzheimer's disease (AD) is of fundamental importance(More)
An accurate and early diagnosis of the Alzheimer's Disease (AD) is of fundamental importance for the patients medical treatment. Single Photon Emission Computed Tomography (SPECT) images are commonly used by physicians to assist the diagnosis, rating them by visual evaluations. In this work we present a computer assisted diagnosis tool based on a Principal(More)
Keywords: Computer aided diagnosis Alzheimer's disease Support vector machines Single photon emission computed tomography a b s t r a c t Alzheimer's disease (AD) is a progressive neurodegenerative disorder first affecting memory functions and then gradually affecting all cognitive functions with behavioural impairments and eventually causing death.(More)
This paper presents a novel computer-aided diagnosis (CAD) technique for the early diagnosis of the Alzheimer's disease (AD) based on nonnegative matrix factorization (NMF) and support vector machines (SVM) with bounds of confidence. The CAD tool is designed for the study and classification of functional brain images. For this purpose, two different brain(More)