Impact of JPEG 2000 compression on lesion detection in MR imaging
| dc.contributor.author | Juan Paz | |
| dc.contributor.author | Marlen Pérez | |
| dc.contributor.author | Peter Schelkens | |
| dc.contributor.author | José David Fernández-Rodríguez | |
| dc.coverage.spatial | Bolivia | |
| dc.date.accessioned | 2026-03-22T15:07:15Z | |
| dc.date.available | 2026-03-22T15:07:15Z | |
| dc.date.issued | 2009 | |
| dc.description | Citaciones: 6 | |
| dc.description.abstract | The optimal bit rate found assures that important information on the small investigated structures is still preserved for their accurate detection and their a posteriori characterization. | |
| dc.identifier.doi | 10.1118/1.3233783 | |
| dc.identifier.uri | https://doi.org/10.1118/1.3233783 | |
| dc.identifier.uri | https://andeanlibrary.org/handle/123456789/50499 | |
| dc.language.iso | en | |
| dc.publisher | Wiley | |
| dc.relation.ispartof | Medical Physics | |
| dc.source | Universidad Central "Marta Abreu" de las Villas (UCLV) | |
| dc.subject | Lossy compression | |
| dc.subject | DICOM | |
| dc.subject | Computer science | |
| dc.subject | Lossless compression | |
| dc.subject | JPEG 2000 | |
| dc.subject | Artificial intelligence | |
| dc.subject | Image compression | |
| dc.subject | False positive paradox | |
| dc.subject | JPEG | |
| dc.subject | Data compression | |
| dc.title | Impact of JPEG 2000 compression on lesion detection in MR imaging | |
| dc.type | article |