000 01404 a2200361 4500
005 20250517081715.0
264 0 _c20161213
008 201612s 0 0 eng d
022 _a1879-0534
024 7 _a10.1016/j.compbiomed.2016.02.001
_2doi
040 _aNLM
_beng
_cNLM
100 1 _aMartínez-Martínez, Francisco
245 0 0 _aFully automated classification of bone marrow infiltration in low-dose CT of patients with multiple myeloma based on probabilistic density model and supervised learning.
_h[electronic resource]
260 _bComputers in biology and medicine
_cApr 2016
300 _a57-66 p.
_bdigital
500 _aPublication Type: Journal Article; Randomized Controlled Trial; Research Support, Non-U.S. Gov't
650 0 4 _aAged
650 0 4 _aBone Marrow Neoplasms
_xdiagnostic imaging
650 0 4 _aFemale
650 0 4 _aHumans
650 0 4 _aImage Processing, Computer-Assisted
650 0 4 _aMachine Learning
650 0 4 _aMale
650 0 4 _aMiddle Aged
650 0 4 _aMultiple Myeloma
_xdiagnostic imaging
650 0 4 _aNeoplasm Metastasis
650 0 4 _aTomography, X-Ray Computed
_xmethods
700 1 _aKybic, Jan
700 1 _aLambert, Lukáš
700 1 _aMecková, Zuzana
773 0 _tComputers in biology and medicine
_gvol. 71
_gp. 57-66
856 4 0 _uhttps://doi.org/10.1016/j.compbiomed.2016.02.001
_zAvailable from publisher's website
999 _c25749953
_d25749953