000 01395 a2200385 4500
005 20250514022744.0
264 0 _c20020718
008 200207s 0 0 eng d
022 _a0278-0062
024 7 _a10.1109/42.974919
_2doi
040 _aNLM
_beng
_cNLM
100 1 _aBrown, M S
245 0 0 _aPatient-specific models for lung nodule detection and surveillance in CT images.
_h[electronic resource]
260 _bIEEE transactions on medical imaging
_cDec 2001
300 _a1242-50 p.
_bdigital
500 _aPublication Type: Comparative Study; Journal Article; Research Support, U.S. Gov't, P.H.S.
650 0 4 _aAutomation
650 0 4 _aFalse Negative Reactions
650 0 4 _aFollow-Up Studies
650 0 4 _aHumans
650 0 4 _aLung Neoplasms
_xdiagnostic imaging
650 0 4 _aModels, Biological
650 0 4 _aRadiographic Image Interpretation, Computer-Assisted
_xmethods
650 0 4 _aRadiography, Thoracic
_xmethods
650 0 4 _aRetrospective Studies
650 0 4 _aSensitivity and Specificity
650 0 4 _aTomography, X-Ray Computed
_xmethods
700 1 _aMcNitt-Gray, M F
700 1 _aGoldin, J G
700 1 _aSuh, R D
700 1 _aSayre, J W
700 1 _aAberle, D R
773 0 _tIEEE transactions on medical imaging
_gvol. 20
_gno. 12
_gp. 1242-50
856 4 0 _uhttps://doi.org/10.1109/42.974919
_zAvailable from publisher's website
999 _c11722284
_d11722284