Machine Learning
Effective Emission Tomography Image Reconstruction Algorithms for SPECT Data
ICCS '08 Proceedings of the 8th international conference on Computational Science, Part I
Effective Detection of the Alzheimer Disease by Means of Coronal NMSE SVM Feature Classification
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part II
SPECT Image Classification Techniques for Computer Aided Diagnosis of the Alzheimer Disease
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence
Support Vector Machines and Neural Networks for the Alzheimer's Disease Diagnosis Using PCA
IWINAC '09 Proceedings of the 3rd International Work-Conference on The Interplay Between Natural and Artificial Computation: Part II: Bioinspired Applications in Artificial and Natural Computation
Classification of SPECT Images Using Clustering Techniques Revisited
IWINAC '09 Proceedings of the 3rd International Work-Conference on The Interplay Between Natural and Artificial Computation: Part II: Bioinspired Applications in Artificial and Natural Computation
On the behavior of information theoretic criteria for model orderselection
IEEE Transactions on Signal Processing
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Features are extracted from PET images employing exploratory matrix factorization techniques, here non-negative matrix factorization (NMF) Appropriate features are fed into classifiers such as support vector machine or random forest An automatic classification is achieved with high classification rate and only few false negatives.