Feature extraction and classification for pupillary images of rats

The investigation of the pupillary light reflex (PLR) is a well-known method to provide information about the functionality of the autonomic nervous system. Pupillometry, a non-invasive technique, was applied in our lab to study the schizophrenia-related PLR alterations in a new selectively bred...

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Elmentve itt :
Bibliográfiai részletek
Szerzők: Kalmár György
Büki Alexandra
Kékesi Gabriella
Horváth Gyöngyi
Nyúl László Gábor
Testületi szerző: THE 11TH CONFERENCE OF PHD STUDENTS IN COMPUTER SCIENCE Volume of short papers CS2
Dokumentumtípus: Könyv része
Megjelent: 2018
Sorozat:THE 11TH CONFERENCE OF PHD STUDENTS IN COMPUTER SCIENCE Volume of short papers CS2
mtmt:3393158
Online Access:http://publicatio.bibl.u-szeged.hu/14017
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520 3 |a The investigation of the pupillary light reflex (PLR) is a well-known method to provide information about the functionality of the autonomic nervous system. Pupillometry, a non-invasive technique, was applied in our lab to study the schizophrenia-related PLR alterations in a new selectively bred rat substrain, named WISKET. The pupil responses to light impulses were recorded with an infrared camera; the videos were automatically processed and features were extracted. Besides the classical statistical analysis (ANOVA), feature selection and classification were applied to reveal the significant differences in the PLR parameters between the control and WISKET animals. 
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856 4 0 |u http://publicatio.bibl.u-szeged.hu/14017/7/cscs2018_cimlap.pdf  |z Dokumentum-elérés