Brain tumour classification using Gaussian decomposition and neural networks
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Enrique Romero | Alfredo Vellido | Daniel A. Sierra | Carlos Arizmendi | A. Vellido | E. Romero | C. Arizmendi | D. Sierra
[1] Francisco del Pozo,et al. Diagnosis of brain tumours from magnetic resonance spectroscopy using wavelets and Neural Networks , 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.
[2] Geoffrey E. Hinton,et al. Bayesian Learning for Neural Networks , 1995 .
[3] David J. C. MacKay,et al. The Evidence Framework Applied to Classification Networks , 1992, Neural Computation.
[4] Kaj Madsen,et al. Methods for Non-Linear Least Squares Problems , 1999 .
[5] Julio J. Valdés,et al. Analysis of mass spectrometry data of cerebral stroke samples: an evolutionary computation approach to resolve and quantify peptide peaks , 2008, Genetic Programming and Evolvable Machines.
[6] W. B. Burton,et al. The Leiden/Argentine/Bonn (LAB) Survey of Galactic HI - Final data release of the combined LDS and IAR surveys with improved stray-radiation corrections , 2005, astro-ph/0504140.
[7] Martin T. Hagan,et al. Gauss-Newton approximation to Bayesian learning , 1997, Proceedings of International Conference on Neural Networks (ICNN'97).
[8] Paulo J. G. Lisboa,et al. Data Mining in Cancer Research [Application Notes] , 2010, IEEE Computational Intelligence Magazine.
[9] M. Julià-Sapé,et al. A Multi-Centre, Web-Accessible and Quality Control-Checked Database of in vivo MR Spectra of Brain Tumour Patients , 2006, Magnetic Resonance Materials in Physics, Biology and Medicine.
[10] Sabine Van Huffel,et al. A combined MRI and MRSI based multiclass system for brain tumour recognition using LS-SVMs with class probabilities and feature selection , 2007, Artif. Intell. Medicine.
[11] Enrique Romero,et al. Frequency Selection for the Diagnostic Characterization of Human Brain Tumours , 2009, CCIA.
[12] Jan C. Bioch,et al. Classification using Bayesian neural nets , 1996, Proceedings of International Conference on Neural Networks (ICNN'96).