000 | 01715 a2200469 4500 | ||
---|---|---|---|
005 | 20250517144231.0 | ||
264 | 0 | _c20180917 | |
008 | 201809s 0 0 eng d | ||
022 | _a1873-2860 | ||
024 | 7 |
_a10.1016/j.artmed.2017.03.004 _2doi |
|
040 |
_aNLM _beng _cNLM |
||
100 | 1 | _aPota, Marco | |
245 | 0 | 0 |
_aEarly prediction of radiotherapy-induced parotid shrinkage and toxicity based on CT radiomics and fuzzy classification. _h[electronic resource] |
260 |
_bArtificial intelligence in medicine _cSep 2017 |
||
300 |
_a41-53 p. _bdigital |
||
500 | _aPublication Type: Comparative Study; Journal Article | ||
650 | 0 | 4 | _aBayes Theorem |
650 | 0 | 4 |
_aCranial Irradiation _xadverse effects |
650 | 0 | 4 | _aEarly Diagnosis |
650 | 0 | 4 | _aFuzzy Logic |
650 | 0 | 4 |
_aHead and Neck Neoplasms _xradiotherapy |
650 | 0 | 4 | _aHumans |
650 | 0 | 4 | _aMachine Learning |
650 | 0 | 4 |
_aParotid Gland _xdiagnostic imaging |
650 | 0 | 4 | _aPredictive Value of Tests |
650 | 0 | 4 |
_aRadiation Exposure _xadverse effects |
650 | 0 | 4 |
_aRadiation Injuries _xdiagnostic imaging |
650 | 0 | 4 |
_aRadiographic Image Interpretation, Computer-Assisted _xmethods |
650 | 0 | 4 | _aRadiotherapy Dosage |
650 | 0 | 4 | _aRisk Factors |
650 | 0 | 4 | _aTime Factors |
650 | 0 | 4 | _aTomography, X-Ray Computed |
650 | 0 | 4 |
_aXerostomia _xdiagnostic imaging |
700 | 1 | _aScalco, Elisa | |
700 | 1 | _aSanguineti, Giuseppe | |
700 | 1 | _aFarneti, Alessia | |
700 | 1 | _aCattaneo, Giovanni Mauro | |
700 | 1 | _aRizzo, Giovanna | |
700 | 1 | _aEsposito, Massimo | |
773 | 0 |
_tArtificial intelligence in medicine _gvol. 81 _gp. 41-53 |
|
856 | 4 | 0 |
_uhttps://doi.org/10.1016/j.artmed.2017.03.004 _zAvailable from publisher's website |
999 |
_c26999511 _d26999511 |