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Rule-Based Assistance to Brain Tumour Diagnosis Using LR-FIR.

, , , , и . KES (2), том 5178 из Lecture Notes in Computer Science, стр. 173-180. Springer, (2008)

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Arus Kunkhet

Mohamud Arush

Andrei Arusoaie

Carles Ulises Moulines

Carles Ossorio-Capella

 

Другие публикации лиц с тем же именем

Classifier Combination for In Vivo Magnetic Resonance Spectra of Brain Tumours., , , и . Multiple Classifier Systems, том 2364 из Lecture Notes in Computer Science, стр. 282-292. Springer, (2002)Spectral Prototype Extraction for dimensionality reduction in brain tumour diagnosis., , , , и . ESANN, (2010)Interpreting response to TMZ therapy in murine GL261 glioblastoma by combining Radiomics, Convex-NMF and feature selection in MRI/MRSI data analysis., , , , , и . IJCNN, стр. 1-8. IEEE, (2020)Classification, Dimensionality Reduction, and Maximally Discriminatory Visualization of a Multicentre 1H-MRS Database of Brain Tumors., , , , и . ICMLA, стр. 613-618. IEEE Computer Society, (2008)Incremental Gaussian Discriminant Analysis based on Graybill and Deal weighted combination of estimators for brain tumour diagnosis., , , , , , , , , и 8 other автор(ы). J. Biomed. Informatics, 44 (4): 677-687 (2011)Non-negative matrix factorisation methods for the spectral decomposition of MRS data from human brain tumours., , , , и . BMC Bioinform., (2012)Genomics and Metabolomics Research for Brain Tumour Diagnosis Based on Machine Learning., , , , , , , , , и 3 other автор(ы). IWANN, том 4507 из Lecture Notes in Computer Science, стр. 1012-1019. Springer, (2007)Feature and model selection with discriminatory visualization for diagnostic classification of brain tumors., , , , , и . Neurocomputing, 73 (4-6): 622-632 (2010)Bagging Linear Sparse Bayesian Learning Models for Variable Selection in Cancer Diagnosis., , , , и . IEEE Trans. Inf. Technol. Biomed., 11 (3): 338-347 (2007)Rule-Based Assistance to Brain Tumour Diagnosis Using LR-FIR., , , , и . KES (2), том 5178 из Lecture Notes in Computer Science, стр. 173-180. Springer, (2008)