000 01547 a2200457 4500
005 20250518075832.0
264 0 _c20200110
008 202001s 0 0 eng d
022 _a1791-7530
024 7 _a10.21873/anticanres.13949
_2doi
040 _aNLM
_beng
_cNLM
100 1 _aRomeo, Valeria
245 0 0 _aPrediction of Tumor Grade and Nodal Status in Oropharyngeal and Oral Cavity Squamous-cell Carcinoma Using a Radiomic Approach.
_h[electronic resource]
260 _bAnticancer research
_cJan 2020
300 _a271-280 p.
_bdigital
500 _aPublication Type: Journal Article
650 0 4 _aAged
650 0 4 _aAlgorithms
650 0 4 _aCarcinoma, Squamous Cell
_xdiagnostic imaging
650 0 4 _aHumans
650 0 4 _aLymph Nodes
_xpathology
650 0 4 _aMachine Learning
650 0 4 _aMouth Neoplasms
_xdiagnostic imaging
650 0 4 _aNeoplasm Grading
650 0 4 _aOropharyngeal Neoplasms
_xdiagnostic imaging
650 0 4 _aTomography, X-Ray Computed
700 1 _aCuocolo, Renato
700 1 _aRicciardi, Carlo
700 1 _aUgga, Lorenzo
700 1 _aCocozza, Sirio
700 1 _aVerde, Francesco
700 1 _aStanzione, Arnaldo
700 1 _aNapolitano, Virginia
700 1 _aRusso, Daniela
700 1 _aImprota, Giovanni
700 1 _aElefante, Andrea
700 1 _aStaibano, Stefania
700 1 _aBrunetti, Arturo
773 0 _tAnticancer research
_gvol. 40
_gno. 1
_gp. 271-280
856 4 0 _uhttps://doi.org/10.21873/anticanres.13949
_zAvailable from publisher's website
999 _c30474858
_d30474858