| 000 | 01531 a2200421 4500 | ||
|---|---|---|---|
| 005 | 20250517183344.0 | ||
| 264 | 0 | _c20180702 | |
| 008 | 201807s 0 0 eng d | ||
| 022 | _a1879-0534 | ||
| 024 | 7 |
_a10.1016/j.compbiomed.2017.10.019 _2doi |
|
| 040 |
_aNLM _beng _cNLM |
||
| 100 | 1 | _aBanchhor, Sumit K | |
| 245 | 0 | 0 |
_aWall-based measurement features provides an improved IVUS coronary artery risk assessment when fused with plaque texture-based features during machine learning paradigm. _h[electronic resource] |
| 260 |
_bComputers in biology and medicine _c12 2017 |
||
| 300 |
_a198-212 p. _bdigital |
||
| 500 | _aPublication Type: Journal Article | ||
| 650 | 0 | 4 | _aAdult |
| 650 | 0 | 4 | _aAged |
| 650 | 0 | 4 | _aAged, 80 and over |
| 650 | 0 | 4 |
_aCarotid Arteries _xdiagnostic imaging |
| 650 | 0 | 4 | _aCohort Studies |
| 650 | 0 | 4 |
_aCoronary Artery Disease _xdiagnostic imaging |
| 650 | 0 | 4 | _aHumans |
| 650 | 0 | 4 | _aMachine Learning |
| 650 | 0 | 4 | _aMiddle Aged |
| 650 | 0 | 4 |
_aPlaque, Atherosclerotic _xdiagnostic imaging |
| 650 | 0 | 4 | _aReproducibility of Results |
| 650 | 0 | 4 | _aSensitivity and Specificity |
| 650 | 0 | 4 |
_aUltrasonography, Interventional _xmethods |
| 700 | 1 | _aLondhe, Narendra D | |
| 700 | 1 | _aAraki, Tadashi | |
| 700 | 1 | _aSaba, Luca | |
| 700 | 1 | _aRadeva, Petia | |
| 700 | 1 | _aLaird, John R | |
| 700 | 1 | _aSuri, Jasjit S | |
| 773 | 0 |
_tComputers in biology and medicine _gvol. 91 _gp. 198-212 |
|
| 856 | 4 | 0 |
_uhttps://doi.org/10.1016/j.compbiomed.2017.10.019 _zAvailable from publisher's website |
| 999 |
_c27751219 _d27751219 |
||