Caenorhabditis elegant segmentation using texture-based models for motility phenotyping


Autoria(s): Greenblum, Ayala; Sznitman, Raphael; Fua, Pascal; Arratia, Paulo E.; Sznitman, Josue
Data(s)

2014

Formato

application/pdf

Identificador

http://boris.unibe.ch/61698/2/06704735.pdf

Greenblum, Ayala; Sznitman, Raphael; Fua, Pascal; Arratia, Paulo E.; Sznitman, Josue (2014). Caenorhabditis elegant segmentation using texture-based models for motility phenotyping. IEEE transactions on biomedical engineering, 61(8), pp. 2278-2289. Institute of Electrical and Electronics Engineers IEEE 10.1109/TBME.2014.2298612 <http://dx.doi.org/10.1109/TBME.2014.2298612>

doi:10.7892/boris.61698

info:doi:10.1109/TBME.2014.2298612

info:pmid:25051545

urn:issn:0018-9294

Idioma(s)

eng

Publicador

Institute of Electrical and Electronics Engineers IEEE

Relação

http://boris.unibe.ch/61698/

Direitos

info:eu-repo/semantics/restrictedAccess

Fonte

Greenblum, Ayala; Sznitman, Raphael; Fua, Pascal; Arratia, Paulo E.; Sznitman, Josue (2014). Caenorhabditis elegant segmentation using texture-based models for motility phenotyping. IEEE transactions on biomedical engineering, 61(8), pp. 2278-2289. Institute of Electrical and Electronics Engineers IEEE 10.1109/TBME.2014.2298612 <http://dx.doi.org/10.1109/TBME.2014.2298612>

Palavras-Chave #000 Computer science, knowledge & systems #610 Medicine & health #620 Engineering
Tipo

info:eu-repo/semantics/article

info:eu-repo/semantics/publishedVersion

PeerReviewed