Irina Dykan - Academia.edu (original) (raw)
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Papers by Irina Dykan
Radiation diagnostics, radiation therapy, 2020
Íàö³îíàëüíà ìåäè÷íà àêàäåì³ÿ ï³ñëÿäèïëîìíî¿ îñâ³òè ³ì. Ï.Ë. Øóïèêà ÌÎÇ Óêðà¿íè 1 , ì. Êè¿â ÄÓ «²í... more Íàö³îíàëüíà ìåäè÷íà àêàäåì³ÿ ï³ñëÿäèïëîìíî¿ îñâ³òè ³ì. Ï.Ë. Øóïèêà ÌÎÇ Óêðà¿íè 1 , ì. Êè¿â ÄÓ «²íñòèòóò ÿäåðíî¿ ìåäèöèíè òà ïðîìåíåâî¿ ä³àãíîñòèêè ÍÀÌÍ Óêðà¿íè» 2 , ì. Êè¿â
2021 IEEE 16th International Conference on Computer Sciences and Information Technologies (CSIT), 2021
The work considers medical images as objects which classification can be solved by set classifica... more The work considers medical images as objects which classification can be solved by set classification methods. Based on the algorithms developed by the authors to find the optimal structures of models for representing classification objects, it is proposed to describe ultrasonic images as nonlinear models of linear scanning and sliding window models. The obtained model parameters were used as texture features of the region of interest. In the result feature ensemble was used as input of classifier build on the Random Forest method. The quality high values of norm-pathology classification were obtained on the test sample of patients with diffuse liver diseases. Data for research were provided by SI “Institute of Nuclear Medicine and Radiation Diagnostics of the National Academy of Medical Sciences of Ukraine”.
2020 IEEE 15th International Conference on Computer Sciences and Information Technologies (CSIT), 2020
The article deals with the construction of the norm-pathology states classifiers according to sta... more The article deals with the construction of the norm-pathology states classifiers according to statistical features of the ultrasound images texture in diffuse liver diseases. A number of new features are proposed to distinguish the texture of classes. Classifiers are constructed in the form of analytical expressions using the GMDH Shell DS software and in the form of a forest, the trees of which are obtained in accordance with the GMDH principles. The work was performed on data, had provided by the Nuclear Medicine and Radiation Diagnostics Institute of the National Academy of Medical Sciences of Ukraine.
Radiation Diagnostics, Radiation Therapy, 2019
Íàö³îíàëüíà ìåäè÷íà àêàäåì³ÿ ï³ñëÿäèïëîìíî¿ îñâ³òè ³ì. Ï.Ë. Øóïèêà ÌÎÇ Óêðà¿íè 1 , ì. Êè¿â ÄÓ «²í... more Íàö³îíàëüíà ìåäè÷íà àêàäåì³ÿ ï³ñëÿäèïëîìíî¿ îñâ³òè ³ì. Ï.Ë. Øóïèêà ÌÎÇ Óêðà¿íè 1 , ì. Êè¿â ÄÓ «²íñòèòóò ÿäåðíî¿ ìåäèöèíè òà ïðîìåíåâî¿ ä³àãíîñòèêè ÍÀÌÍ Óêðà¿íè» 2 , ì. Êè¿â
Radiation diagnostics, radiation therapy, 2020
Íàö³îíàëüíà ìåäè÷íà àêàäåì³ÿ ï³ñëÿäèïëîìíî¿ îñâ³òè ³ì. Ï.Ë. Øóïèêà ÌÎÇ Óêðà¿íè 1 , ì. Êè¿â ÄÓ «²í... more Íàö³îíàëüíà ìåäè÷íà àêàäåì³ÿ ï³ñëÿäèïëîìíî¿ îñâ³òè ³ì. Ï.Ë. Øóïèêà ÌÎÇ Óêðà¿íè 1 , ì. Êè¿â ÄÓ «²íñòèòóò ÿäåðíî¿ ìåäèöèíè òà ïðîìåíåâî¿ ä³àãíîñòèêè ÍÀÌÍ Óêðà¿íè» 2 , ì. Êè¿â
2021 IEEE 16th International Conference on Computer Sciences and Information Technologies (CSIT), 2021
The work considers medical images as objects which classification can be solved by set classifica... more The work considers medical images as objects which classification can be solved by set classification methods. Based on the algorithms developed by the authors to find the optimal structures of models for representing classification objects, it is proposed to describe ultrasonic images as nonlinear models of linear scanning and sliding window models. The obtained model parameters were used as texture features of the region of interest. In the result feature ensemble was used as input of classifier build on the Random Forest method. The quality high values of norm-pathology classification were obtained on the test sample of patients with diffuse liver diseases. Data for research were provided by SI “Institute of Nuclear Medicine and Radiation Diagnostics of the National Academy of Medical Sciences of Ukraine”.
2020 IEEE 15th International Conference on Computer Sciences and Information Technologies (CSIT), 2020
The article deals with the construction of the norm-pathology states classifiers according to sta... more The article deals with the construction of the norm-pathology states classifiers according to statistical features of the ultrasound images texture in diffuse liver diseases. A number of new features are proposed to distinguish the texture of classes. Classifiers are constructed in the form of analytical expressions using the GMDH Shell DS software and in the form of a forest, the trees of which are obtained in accordance with the GMDH principles. The work was performed on data, had provided by the Nuclear Medicine and Radiation Diagnostics Institute of the National Academy of Medical Sciences of Ukraine.
Radiation Diagnostics, Radiation Therapy, 2019
Íàö³îíàëüíà ìåäè÷íà àêàäåì³ÿ ï³ñëÿäèïëîìíî¿ îñâ³òè ³ì. Ï.Ë. Øóïèêà ÌÎÇ Óêðà¿íè 1 , ì. Êè¿â ÄÓ «²í... more Íàö³îíàëüíà ìåäè÷íà àêàäåì³ÿ ï³ñëÿäèïëîìíî¿ îñâ³òè ³ì. Ï.Ë. Øóïèêà ÌÎÇ Óêðà¿íè 1 , ì. Êè¿â ÄÓ «²íñòèòóò ÿäåðíî¿ ìåäèöèíè òà ïðîìåíåâî¿ ä³àãíîñòèêè ÍÀÌÍ Óêðà¿íè» 2 , ì. Êè¿â