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040 _aNUST
_beng
_cNUST
_dNUST
_erda
050 _aR857.C65 NYA
100 1 _aNyamapfeni, Samuel A.
_eauthor
245 1 _aCADe system for lung nodule detection based on geometric and intensity methods in computed tomography /
_cSamuel A. Nyamapfeni.
260 _aBulawayo, Zimbabwe :
_bNational University of Science and Technology,
_c©2015.
300 _ax, 53 pages :
_billustrations ;
_c31 cm.
336 _2rdacontent
_atext
_btxt
337 _2rdamedia
_aunmediated
_bn
338 _2rdacarrier
_avolume
_bnc
500 _aA dissertation submitted in partial fulfillment of the requirements for the Bachelor of Science Honours degree in Radiography.
501 _00Undergraduate
504 _aIncludes bibliographical references.
650 2 _aComputer-aided detection (Medical imaging).
650 2 _aLung
_xCancer
_xDiagnosis
650 2 _aLungs
_xTomography.
650 2 _aImage processing
_xMedical applications.
650 2 _aComputed tomography
_xDiagnostic use.
650 2 _aPattern recognition systems in medicine.
700 1 _aGashirai, S. T.
_esupervisor
942 _2lcc
_n0
_c3HOUR
_hR857.C65 NYA
_kR
_mNYA
999 _c173163
_d173163