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 rat...
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| Testületi szerző: | |
| Dokumentumtípus: | Könyv része |
| Megjelent: |
2018
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| Sorozat: | Conference of PhD Students in Computer Science
11 |
| Kulcsszavak: | Számítástechnika, Orvostudomány |
| Online Access: | http://acta.bibl.u-szeged.hu/61773 |
| LEADER | 01561naa a2200241 i 4500 | ||
|---|---|---|---|
| 001 | acta61773 | ||
| 005 | 20221108101820.0 | ||
| 008 | 191104s2018 hu o 1|| zxx d | ||
| 040 | |a SZTE Egyetemi Kiadványok Repozitórium |b hun | ||
| 041 | |a zxx | ||
| 100 | 1 | |a Kalmár György | |
| 245 | 1 | 0 | |a Feature extraction and classification for pupillary images of rats |h [elektronikus dokumentum] / |c Kalmár György |
| 260 | |c 2018 | ||
| 300 | |a 88-91 | ||
| 490 | 0 | |a Conference of PhD Students in Computer Science |v 11 | |
| 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. | |
| 695 | |a Számítástechnika, Orvostudomány | ||
| 700 | 0 | 1 | |a Büki Alexandra |e aut |
| 700 | 0 | 1 | |a Kékesi Gabriella |e aut |
| 700 | 0 | 1 | |a Horváth Gyöngyi |e aut |
| 700 | 0 | 1 | |a Nyúl László G. |e aut |
| 710 | |a Conference of PhD students in computer science (11.) (2018) (Szeged) | ||
| 856 | 4 | 0 | |u http://acta.bibl.u-szeged.hu/61773/1/cscs_2018_101-104.pdf |z Dokumentum-elérés |