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Registro completo
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Biblioteca (s) : |
INIA Las Brujas; INIA Tacuarembó. |
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Fecha : |
19/07/2015 |
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Actualizado : |
15/10/2019 |
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Tipo de producción científica : |
Revista INIA |
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Autor : |
INIA (INSTITUTO NACIONAL DE INVESTIGACIÓN AGROPECUARIA) |
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Título : |
Revista INIA Uruguay. (No.40, Marzo 2015). |
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Fecha de publicación : |
2015 |
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Fuente / Imprenta : |
Montevideo (Uruguay): INIA, 2015. |
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Páginas : |
63 p. |
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Serie : |
(Revista INIA; 40) |
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ISSN : |
1510-9011 |
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Idioma : |
Español |
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Thesagro : |
ARROZ; BIOTECNOLOGIA; BOVINOS DE CARNE; CAMBIO CLIMÁTICO; CIENCIA; CITRUS; CLIMA; CLIMATOLOGIA; COMUNICACIÓN; CONTROL DE ENFERMEDADES; CULTIVOS DE GRANO; CULTIVOS DE SECANO; ENTOMOLOGIA; ESPECIES FORRAJERAS; EUCALYPTUS; EXPLOTACION AGRICOLA FAMILIAR; FITOPATOLOGÍA; FORESTALES; FORRAJES; FRUTALES; FRUTICULTURA; GANADO BOVINO; GRANOS; GRAS; HORTALIZAS; HORTICULTURA; INIA; INNOVACION; INVESTIGACIÓN; LECHERÍA; LEGUMINOSAS FORRAJERAS; MANEJO DEL CULTIVO; MEJORAMIENTO ANIMAL; METEOROLOGIA; MICROBIOLOGÍA; OVINOS; PASTURAS; PRODUCCIÓN ANIMAL; PRODUCCION DE LANA; PRODUCCION DE LECHE; PRODUCCION LECHERA; REVISTA INIA 2015; SEMILLAS; SOJA; SUELOS; SUINOS; SUSTENTABILIDAD AMBIENTAL; TECNOLOGÍA; TRANSFERENCIA DE TECNOLOGIA; VARIEDADES; VITICULTURA. |
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Asunto categoría : |
A50 Investigación agraria |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/4855/1/revista-INIA-40.pdf
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Marc : |
LEADER 01905nam a2200745 a 4500
001 1053105
005 2019-10-15
008 2015 bl uuuu u00u1 u #d
022 $a1510-9011
100 1 $aINIA (INSTITUTO NACIONAL DE INVESTIGACIÓN AGROPECUARIA)
245 $aRevista INIA Uruguay. (No.40, Marzo 2015).
260 $aMontevideo (Uruguay): INIA$c2015
300 $a63 p.
490 $a(Revista INIA; 40)
650 $aARROZ
650 $aBIOTECNOLOGIA
650 $aBOVINOS DE CARNE
650 $aCAMBIO CLIMÁTICO
650 $aCIENCIA
650 $aCITRUS
650 $aCLIMA
650 $aCLIMATOLOGIA
650 $aCOMUNICACIÓN
650 $aCONTROL DE ENFERMEDADES
650 $aCULTIVOS DE GRANO
650 $aCULTIVOS DE SECANO
650 $aENTOMOLOGIA
650 $aESPECIES FORRAJERAS
650 $aEUCALYPTUS
650 $aEXPLOTACION AGRICOLA FAMILIAR
650 $aFITOPATOLOGÍA
650 $aFORESTALES
650 $aFORRAJES
650 $aFRUTALES
650 $aFRUTICULTURA
650 $aGANADO BOVINO
650 $aGRANOS
650 $aGRAS
650 $aHORTALIZAS
650 $aHORTICULTURA
650 $aINIA
650 $aINNOVACION
650 $aINVESTIGACIÓN
650 $aLECHERÍA
650 $aLEGUMINOSAS FORRAJERAS
650 $aMANEJO DEL CULTIVO
650 $aMEJORAMIENTO ANIMAL
650 $aMETEOROLOGIA
650 $aMICROBIOLOGÍA
650 $aOVINOS
650 $aPASTURAS
650 $aPRODUCCIÓN ANIMAL
650 $aPRODUCCION DE LANA
650 $aPRODUCCION DE LECHE
650 $aPRODUCCION LECHERA
650 $aREVISTA INIA 2015
650 $aSEMILLAS
650 $aSOJA
650 $aSUELOS
650 $aSUINOS
650 $aSUSTENTABILIDAD AMBIENTAL
650 $aTECNOLOGÍA
650 $aTRANSFERENCIA DE TECNOLOGIA
650 $aVARIEDADES
650 $aVITICULTURA
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Registro original : |
INIA Las Brujas (LB) |
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 | Acceso al texto completo restringido a Biblioteca INIA Tacuarembó. Por información adicional contacte bibliotb@tb.inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA Tacuarembó. |
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Fecha actual : |
14/03/2017 |
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Actualizado : |
05/06/2018 |
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Tipo de producción científica : |
Capítulo en Libro Técnico-Científico |
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Autor : |
GÓMEZ, A.; CARBAJAL, G.; FUENTES, M.; VIÑOLES, C. |
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Afiliación : |
ÁLVARO GÓMEZ; GUILLERMO CARBAJAL; MAGDALENA FUENTES; CAROLINA VIÑOLES GIL, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Detection of follicles in ultrasound videos of bovine ovaries. |
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Fecha de publicación : |
2017 |
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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. |
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Páginas : |
p. 352-359 |
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DOI : |
10.1007/978-3-319-52277-7_43 |
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Idioma : |
Inglés |
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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. |
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Palabras claves : |
CASCADE CLASSIFIER; FOLLICLE DETECTION; MULTITRACKING. |
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Thesagro : |
ECOGRAFIA; ULTRASONIDO. |
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Asunto categoría : |
L53 Fisiología Animal - Reproducción |
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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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