Please use this identifier to cite or link to this item: https://olympias.lib.uoi.gr/jspui/handle/123456789/22581
Title: Design of a multi-classifier system for discriminating benign from malignant thyroid nodules using routinely H&E-stained cytological images
Institution and School/Department of submitter: Πανεπιστήμιο Ιωαννίνων. Σχολή Επιστημών Υγείας. Τμήμα Ιατρικής
Keywords: Algorithms,Artificial Intelligence,Bayes Theorem,Biopsy, Fine-Needle,Cell Nucleus/metabolism,Cytodiagnosis/methods,Diagnosis, Differential,Eosine Yellowish-(YS)/chemistry,Hematoxylin/chemistry,Humans,Image Interpretation, Computer-Assisted/*methods,Least-Squares Analysis,Neural Networks (Computer),Sensitivity and Specificity,Staining and Labeling/methods,Statistics, Nonparametric,Thyroid Gland/chemistry/*pathology,Thyroid Neoplasms/metabolism/*pathology,Thyroid Nodule/*diagnosis/metabolism
URI: https://olympias.lib.uoi.gr/jspui/handle/123456789/22581
ISSN: 0010-4825
Link: http://www.ncbi.nlm.nih.gov/pubmed/17996861
http://ac.els-cdn.com/S0010482507001588/1-s2.0-S0010482507001588-main.pdf?_tid=a3abe9c61d6ffff80e59ba71a4a7f0ee&acdnat=1333451294_648de2d212352dbfc4b2549151499e23
Appears in Collections:Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά) - ΙΑΤ

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