Kalmár György; Büki Alexandra; Kékesi Gabriella; Horváth Gyöngyi; Nyúl László G.: Feature extraction and classification for pupillary images of rats.
Előnézet |
Cikk, tanulmány, mű
cscs_2018_101-104.pdf Letöltés (199kB) | Előnézet |
Absztrakt (kivonat)
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.
| Mű típusa: | Konferencia vagy workshop anyag |
|---|---|
| Befoglaló folyóirat/kiadvány címe: | Conference of PhD Students in Computer Science |
| Dátum: | 2018 |
| Kötet: | 11 |
| Oldalak: | pp. 88-91 |
| Konferencia neve: | Conference of PhD students in computer science (11.) (2018) (Szeged) |
| Befoglaló mű URL: | http://acta.bibl.u-szeged.hu/59477/ |
| Kulcsszavak: | Számítástechnika, Orvostudomány |
| Megjegyzések: | Bibliogr.: p. 90-91. ; összefoglalás angol nyelven |
| Feltöltés dátuma: | 2019. nov. 04. 09:58 |
| Utolsó módosítás: | 2022. nov. 08. 10:18 |
| URI: | http://acta.bibl.u-szeged.hu/id/eprint/61773 |
 |
Tétel nézet |
