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Registro completo
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Biblioteca (s) : |
INIA Tacuarembó. |
Fecha : |
21/02/2014 |
Actualizado : |
23/10/2018 |
Tipo de producción científica : |
Documentos |
Autor : |
DEAMBROSI, E.; SALDAIN, N.E. |
Afiliación : |
ENRIQUE GERMAN DEAMBROSI CHURRUT, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; NÉSTOR ELIO SALDAIN CROCCE, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Evaluación de herbicidas. |
Fecha de publicación : |
1999 |
Fuente / Imprenta : |
ln: INIA Tacuarembó. Programa Nacional de Arroz. Arroz: resultados experimentales zafra 1998-1999. Tacuarembó (Uruguay): INIA, 1999. |
Páginas : |
p. 91-104 |
Serie : |
(INIA Serie Actividades de Difusión ; 199) |
Idioma : |
Español |
Palabras claves : |
RICE (ORYZA SATIVA L.). |
Thesagro : |
ARROZ; ESCARDA; EVALUACION; HERBICIDAS. |
Asunto categoría : |
F01 Cultivo |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/11656/1/SAD199p91-104.pdf
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Marc : |
LEADER 00622naa a2200205 a 4500 001 1021595 005 2018-10-23 008 1999 bl uuuu u00u1 u #d 100 1 $aDEAMBROSI, E. 245 $aEvaluación de herbicidas. 260 $c1999 300 $ap. 91-104 490 $a(INIA Serie Actividades de Difusión ; 199) 650 $aARROZ 650 $aESCARDA 650 $aEVALUACION 650 $aHERBICIDAS 653 $aRICE (ORYZA SATIVA L.) 700 1 $aSALDAIN, N.E. 773 $tln: INIA Tacuarembó. Programa Nacional de Arroz. Arroz: resultados experimentales zafra 1998-1999. Tacuarembó (Uruguay): INIA, 1999.
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INIA Tacuarembó (TBO) |
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| Acceso al texto completo restringido a Biblioteca INIA Tacuarembó. Por información adicional contacte bibliotb@tb.inia.org.uy. |
Registro completo
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Biblioteca (s) : |
INIA Tacuarembó. |
Fecha actual : |
14/03/2017 |
Actualizado : |
05/06/2018 |
Tipo de producción científica : |
Capítulo en Libro Técnico-Científico |
Autor : |
GÓMEZ, A.; CARBAJAL, G.; FUENTES, M.; VIÑOLES, C. |
Afiliación : |
ÁLVARO GÓMEZ; GUILLERMO CARBAJAL; MAGDALENA FUENTES; CAROLINA VIÑOLES GIL, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Detection of follicles in ultrasound videos of bovine ovaries. |
Fecha de publicación : |
2017 |
Fuente / Imprenta : |
In: Beltrán-Castañón C.; Nyström I.; Famili F. (eds.). Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2016. Lecture Notes in Computer Science, vol 10125. Springer, Cham, 2017. |
Páginas : |
p. 352-359 |
DOI : |
10.1007/978-3-319-52277-7_43 |
Idioma : |
Inglés |
Contenido : |
Ultrasound imaging is a veterinarian standard procedure for the monitoring of ovarian structures in cattle. Recent studies, suggest that the number of antral follicles can give a cue of the future fertility of a specimen. Therefore, there has been a growing interest in counting the number of antral follicles at early stages in life.
In the most typical procedure, the operator performs a trans-rectal ultrasound scan and counts the follicles on the live video that is seen in the ultrasound machine. This is a challenging task and requires highly trained experts that can reliably detect and count the follicles in a quick sweep of a few seconds.
This work presents the integration of several signal processing techniques to the problem of automatically detecting follicles in ultrasound videos of bovine cattle ovaries. The approach starts from an ultrasound video that traverses the ovary from end to end. Putative follicle regions are detected on each frame with a cascade of boosted classifiers. In order to impose temporal coherence, the detections are tracked across the frames with multiple Kalman filters. The tracks are analyzed to separate follicle detections from other false detections.
The method is tested on a phantom dataset of ovaries in gelatin with dissection ground truth. Results are promising and encourage further extension to in-vivo ultrasound videos.
© Springer International Publishing AG 2017. |
Palabras claves : |
CASCADE CLASSIFIER; FOLLICLE DETECTION; MULTITRACKING. |
Thesagro : |
ECOGRAFIA; ULTRASONIDO. |
Asunto categoría : |
L53 Fisiología Animal - Reproducción |
Marc : |
LEADER 02272naa a2200241 a 4500 001 1056832 005 2018-06-05 008 2017 bl uuuu u00u1 u #d 024 7 $a10.1007/978-3-319-52277-7_43$2DOI 100 1 $aGÓMEZ, A. 245 $aDetection of follicles in ultrasound videos of bovine ovaries.$h[electronic resource] 260 $c2017 300 $ap. 352-359 520 $aUltrasound imaging is a veterinarian standard procedure for the monitoring of ovarian structures in cattle. Recent studies, suggest that the number of antral follicles can give a cue of the future fertility of a specimen. Therefore, there has been a growing interest in counting the number of antral follicles at early stages in life. In the most typical procedure, the operator performs a trans-rectal ultrasound scan and counts the follicles on the live video that is seen in the ultrasound machine. This is a challenging task and requires highly trained experts that can reliably detect and count the follicles in a quick sweep of a few seconds. This work presents the integration of several signal processing techniques to the problem of automatically detecting follicles in ultrasound videos of bovine cattle ovaries. The approach starts from an ultrasound video that traverses the ovary from end to end. Putative follicle regions are detected on each frame with a cascade of boosted classifiers. In order to impose temporal coherence, the detections are tracked across the frames with multiple Kalman filters. The tracks are analyzed to separate follicle detections from other false detections. The method is tested on a phantom dataset of ovaries in gelatin with dissection ground truth. Results are promising and encourage further extension to in-vivo ultrasound videos. © Springer International Publishing AG 2017. 650 $aECOGRAFIA 650 $aULTRASONIDO 653 $aCASCADE CLASSIFIER 653 $aFOLLICLE DETECTION 653 $aMULTITRACKING 700 1 $aCARBAJAL, G. 700 1 $aFUENTES, M. 700 1 $aVIÑOLES, C. 773 $tIn: Beltrán-Castañón C.; Nyström I.; Famili F. (eds.). Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2016. Lecture Notes in Computer Science, vol 10125. Springer, Cham, 2017.
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