Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Mónica Penedo"'
Autor:
Juan J. Vidal, Justo Villalón, Miguel Souto, Mónica Penedo, Laurie L. Fajardo, José M. Carreira, Pablo G. Tahoces, Dev P. Chakraborty, Carmen Seoane, Kevin S. Berbaum, Gerardo Porto
Publikováno v:
Radiology. 237:450-457
To assess the effects of two irreversible wavelet-based compression algorithms--Joint Photographic Experts Group (JPEG) 2000 and object-based set partitioning in hierarchical trees (SPIHT)--on the detection of clusters of microcalcifications and mass
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b458b4e2ce20ae446cd7a6a4addfacc
https://doi.org/10.1148/radiol.2372040996
https://doi.org/10.1148/radiol.2372040996
Publikováno v:
Journal of Magnetic Resonance. 168:288-295
The application of a lossy data compression algorithm based on wavelet transform to 2D NMR spectra is presented. We show that this algorithm affords rapid and extreme compression ratios (e.g., 800:1), providing high quality reconstructed 2D spectra.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d511ff356f9ad49a1a0b1636fe1b17a9
https://doi.org/10.1016/j.jmr.2004.03.016
https://doi.org/10.1016/j.jmr.2004.03.016
Publikováno v:
IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society. 10(2)
The functionalities of the JPEG2000 standard have led to its incorporation into digital imaging and communications in medicine (DICOM), which makes this compression method available for medical systems. In this study, we evaluated the compression of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c8a250cfc1a00f5ba3cbe9b404573c1
https://pubmed.ncbi.nlm.nih.gov/16617624
https://pubmed.ncbi.nlm.nih.gov/16617624
Autor:
Manuel Desco, Juan Domingo Gispert, Mónica Penedo, Juan José Vaquero, Santiago Reig, Pedro García-Barreno
Publikováno v:
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
instname
This paper presents and evaluates a wavelet-based statistical analysis of PET images for the detection of brain activation areas. Brain regions showing significant activations were obtained by performing Student's t tests in the wavelet domain, recon
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c31cb2aef91d0b56a92ddf99b745168
https://pubmed.ncbi.nlm.nih.gov/15652311
https://pubmed.ncbi.nlm.nih.gov/15652311
Publikováno v:
IEEE Transactions on Medical Imaging. 22:1575-1575
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25303b13b19aad99f1e5b763eec1cd66
https://doi.org/10.1109/tmi.2003.821075
https://doi.org/10.1109/tmi.2003.821075
Publikováno v:
ResearcherID
Scopus-Elsevier
ICIP (3)
Scopus-Elsevier
ICIP (3)
In this paper, we investigate region-based embedded wavelet compression methods and introduce region-based extensions of the set partitioning in hierarchical trees (SPIHT) and the set partitioning embedded block (SPECK) coding algorithms applied to t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c210fedd57e06c54dc65db71f3e0c39
http://www.scopus.com/inward/record.url?eid=2-s2.0-0344271799&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-0344271799&partnerID=MN8TOARS
