000 01863 a2200541 4500
005 20250518073751.0
264 0 _c20201007
008 202010s 0 0 eng d
022 _a1432-1084
024 7 _a10.1007/s00330-019-06498-w
_2doi
040 _aNLM
_beng
_cNLM
100 1 _aSchwyzer, Moritz
245 0 0 _aArtificial intelligence for detecting small FDG-positive lung nodules in digital PET/CT: impact of image reconstructions on diagnostic performance.
_h[electronic resource]
260 _bEuropean radiology
_cApr 2020
300 _a2031-2040 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 _aAlgorithms
650 0 4 _aArtificial Intelligence
650 0 4 _aDeep Learning
650 0 4 _aFemale
650 0 4 _aFluorodeoxyglucose F18
650 0 4 _aHumans
650 0 4 _aImage Processing, Computer-Assisted
_xmethods
650 0 4 _aLung Neoplasms
_xdiagnostic imaging
650 0 4 _aMale
650 0 4 _aMiddle Aged
650 0 4 _aMultiple Pulmonary Nodules
_xdiagnostic imaging
650 0 4 _aPositron Emission Tomography Computed Tomography
_xmethods
650 0 4 _aRadiopharmaceuticals
650 0 4 _aRetrospective Studies
650 0 4 _aSensitivity and Specificity
650 0 4 _aSolitary Pulmonary Nodule
_xdiagnostic imaging
700 1 _aMartini, Katharina
700 1 _aBenz, Dominik C
700 1 _aBurger, Irene A
700 1 _aFerraro, Daniela A
700 1 _aKudura, Ken
700 1 _aTreyer, Valerie
700 1 _avon Schulthess, Gustav K
700 1 _aKaufmann, Philipp A
700 1 _aHuellner, Martin W
700 1 _aMesserli, Michael
773 0 _tEuropean radiology
_gvol. 30
_gno. 4
_gp. 2031-2040
856 4 0 _uhttps://doi.org/10.1007/s00330-019-06498-w
_zAvailable from publisher's website
999 _c30406750
_d30406750