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