000 01323 a2200373 4500
005 20250518051102.0
264 0 _c20200325
008 202003s 0 0 eng d
022 _a1361-6560
024 7 _a10.1088/1361-6560/ab3242
_2doi
040 _aNLM
_beng
_cNLM
100 1 _aLu, Wenzhuo
245 0 0 _aAn investigation of quantitative accuracy for deep learning based denoising in oncological PET.
_h[electronic resource]
260 _bPhysics in medicine and biology
_c08 2019
300 _a165019 p.
_bdigital
500 _aPublication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
650 0 4 _aAlgorithms
650 0 4 _aDeep Learning
650 0 4 _aHumans
650 0 4 _aImage Enhancement
_xmethods
650 0 4 _aImage Processing, Computer-Assisted
650 0 4 _aNeoplasms
_xdiagnostic imaging
650 0 4 _aNormal Distribution
650 0 4 _aPositron-Emission Tomography
650 0 4 _aSignal-To-Noise Ratio
700 1 _aOnofrey, John A
700 1 _aLu, Yihuan
700 1 _aShi, Luyao
700 1 _aMa, Tianyu
700 1 _aLiu, Yaqiang
700 1 _aLiu, Chi
773 0 _tPhysics in medicine and biology
_gvol. 64
_gno. 16
_gp. 165019
856 4 0 _uhttps://doi.org/10.1088/1361-6560/ab3242
_zAvailable from publisher's website
999 _c29902585
_d29902585