Authors | A.S. Dovbysh1, V.V. Moskalenko1, A.S. Rizhova1, O.V. Dyomin2 |
Affiliations | 1 Sumy State University, 2, Rimsky Korsakov Str., 40007 Sumy, Ukraine 2 Institute for Scintillation Materials NAS of Ukraine, 60, Lenina Ave., 61001 Kharkiv, Ukraine |
Е-mail | alenarizhova@yandex.ua |
Issue | Volume 7, Year 2015, Number 4 |
Dates | Received 04 September 2015; published online 10 December 2015 |
Citation | A.S. Dovbysh, V.V. Moskalenko, A.S. Rizhova, O.V. Dyomin, J. Nano- Electron. Phys. 7 No 4, 04036 (2015) |
DOI | |
PACS Number(s) | 52.70.Gw, 87.85.Tu |
Keywords | Segmentation, Cluster-analysis, Information-extreme intellectual technology, Set of classes, feature set, Radionuclide diagnostics, Gamma-camera, Optimization (14) , Swarm algorithm. |
Annotation | The results of parameters optimization of decision rules using the particle swarm algorithm are analyzed. The results of the automatic segmentation of scintigraphic data intended to highlight regions of interests, result of automatic classification of renogram curves intended to make-diagnosis are shown. |
List of References English version of article |