000 | 01774cam a2200289zu 4500 | ||
---|---|---|---|
001 | 88955518 | ||
003 | FRCYB88955518 | ||
005 | 20250108004050.0 | ||
006 | m o d | ||
007 | cr un | ||
008 | 250108s2022 fr | o|||||0|0|||eng d | ||
020 | _a9780128219836 | ||
035 | _aFRCYB88955518 | ||
040 |
_aFR-PaCSA _ben _c _erda |
||
100 | 1 | _aEl-Baz, Ayman S. | |
245 | 0 | 1 |
_aCardiovascular and Coronary Artery Imaging _bVolume 2 _c['El-Baz, Ayman S.', 'Suri, Jasjit'] |
264 | 1 |
_bElsevier Science _c2022 |
|
300 | _a p. | ||
336 |
_btxt _2rdacontent |
||
337 |
_bc _2rdamdedia |
||
338 |
_bc _2rdacarrier |
||
650 | 0 | _a | |
700 | 0 | _aEl-Baz, Ayman S. | |
700 | 0 | _aSuri, Jasjit | |
856 | 4 | 0 |
_2Cyberlibris _uhttps://international.scholarvox.com/netsen/book/88955518 _qtext/html _a |
520 | _aCardiovascular and Coronary Artery Imaging, Volume Two presents the basics of echocardiography, nuclear imaging and magnetic resonance imaging (MRI) and provides insights into their appropriate use. The book covers state-of-the-art approaches for automated non-invasive systems for early cardiovascular and coronary artery disease diagnosis. It includes several prominent imaging modalities such as MRI, CT and PET technologies. Other sections focus on major trends and challenges in this area and present the latest techniques for cardiovascular and coronary image analysis. Takes an integrated approach to cardiovascular and coronary imaging using machine learning, deep learning and reinforcement learning approaches Covers state-of-the-art approaches for automated non-invasive systems for early cardiovascular disease diagnosis Provides a perspective on future cardiovascular imaging and highlights areas that still need improvement | ||
999 |
_c79192 _d79192 |