000 01580 a2200421 4500
005 20250516215928.0
264 0 _c20150610
008 201506s 0 0 eng d
022 _a1522-2586
024 7 _a10.1002/jmri.24375
_2doi
040 _aNLM
_beng
_cNLM
100 1 _aStember, Joseph N
245 0 0 _aPilot study of a novel tool for input-free automated identification of transition zone prostate tumors using T2- and diffusion-weighted signal and textural features.
_h[electronic resource]
260 _bJournal of magnetic resonance imaging : JMRI
_cAug 2014
300 _a301-5 p.
_bdigital
500 _aPublication Type: Journal Article; Research Support, Non-U.S. Gov't
650 0 4 _aAged
650 0 4 _aAlgorithms
650 0 4 _aArtificial Intelligence
650 0 4 _aDiffusion Magnetic Resonance Imaging
_xmethods
650 0 4 _aHumans
650 0 4 _aImage Enhancement
_xmethods
650 0 4 _aImage Interpretation, Computer-Assisted
_xmethods
650 0 4 _aMale
650 0 4 _aMiddle Aged
650 0 4 _aPattern Recognition, Automated
_xmethods
650 0 4 _aPilot Projects
650 0 4 _aProstatic Neoplasms
_xpathology
650 0 4 _aReproducibility of Results
650 0 4 _aSensitivity and Specificity
650 0 4 _aSoftware
650 0 4 _aSoftware Validation
700 1 _aDeng, Fang-Ming
700 1 _aTaneja, Samir S
700 1 _aRosenkrantz, Andrew B
773 0 _tJournal of magnetic resonance imaging : JMRI
_gvol. 40
_gno. 2
_gp. 301-5
856 4 0 _uhttps://doi.org/10.1002/jmri.24375
_zAvailable from publisher's website
999 _c23914167
_d23914167