Please use this identifier to cite or link to this item: https://olympias.lib.uoi.gr/jspui/handle/123456789/20921
Title: Improving accuracy in astrocytomas grading by integrating a robust least squares mapping driven support vector machine classifier into a two level grade classification scheme
Institution and School/Department of submitter: Πανεπιστήμιο Ιωαννίνων. Σχολή Επιστημών Υγείας. Τμήμα Ιατρικής
Keywords: Artificial Intelligence,Astrocytoma/*classification/*pathology,Diagnosis, Computer-Assisted/*statistics & numerical data,Glioblastoma/classification/pathology,Humans,Image Interpretation, Computer-Assisted/methods,Least-Squares Analysis,ROC Curve,Staining and Labeling
URI: https://olympias.lib.uoi.gr/jspui/handle/123456789/20921
ISSN: 0169-2607
Link: http://www.ncbi.nlm.nih.gov/pubmed/18343526
http://ac.els-cdn.com/S0169260708000394/1-s2.0-S0169260708000394-main.pdf?_tid=68a2f0e6a651b5368fa945dd65c178e9&acdnat=1333451311_63c70344c1a6975500399f385c656d84
Appears in Collections:Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά) - ΙΑΤ

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