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003 EG-GiCUC
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008 150214s2014 ua h f m 000 0 eng d
040 _aEG-GiCUC
_beng
_cEG-GiCUC
041 0 _aeng
049 _aDeposite
097 _aM.Sc
099 _aCai01.13.03.M.Sc.2014.Za.C
100 0 _aZaid Abduh Hassan Alsaidy
245 1 0 _aComputer-aided detection of pulmonary nodules in chest computed tomography images/
_cZaid Abduh Hassan Alsaidy ; Supervised Yasser M. Kadah , Manal Abdelwahed ,
246 1 5 _a{uFEE7}{uFEC8}{uFE8E}م {uئإؤآ}{uئإآ٨}{uئإؤ٢} أورام ا{uئإؤئ}{uئإءإ}{uئإ٨آ}{uئإ٩٤} {uئإؤ٣}{uئإئ٢} {uئإآآ}{uئإإإ}ر ا{uئإئ٧}{uئإآ٧}{uئإأأ}{uئإ٩٤} ا{uئإؤئ}{uئإإ٤}{uئإؤ٨}{uئإأ٤}{uئإأأ}{uئإئ٤}{uئإ٩٤} ا{uئإؤئ}{uئإآأ}{uئإءء}ر{uئإئ٣}{uئإ٩٤} {uئإ٩١}{uئإإ٤}{uئإآ٤}{uئإ٨إ}{uئإأآ}{uئإءء}ة ا{uئإؤئ}{uئإء٤}{uئإ٨إ}{uئإآ٣}{uئإ٩٠}
260 _aCairo :
_bZaid Abduh Hassan Alsaidy ,
_c2014
300 _a78 P. :
_bfacsimiles ;
_c30cm
502 _aThesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Systems and Biomedical Engineering
520 _aLung cancer remains the leading cause of cancer-related deaths in the world. Early diagnosis can improve the effectiveness of treatment and increase the patient{u201F}s chance of survival. Detecting pulmonary nodules in chest computed tomography (CT) scans helps to diagnose lung cancer in an early stage, assess the risk of malignancy. A computer-aided detection (CADe) system is developed by proposing algorithms for classification of lung tissues in chest CT scans to distinguish between nodules (abnormal tissues) and non-nodule (normal tissues) using different combination of 2-D features. The components of the CADe system include feature extraction, feature normalization, feature selection and binary classification (Nodule or Non-Nodule). The system provided excellent results with high sensitivity and specificity on data obtained from two different international reference data sets
530 _aIssued also as CD
653 4 _aComputer-aided detection
653 4 _aPulmonary nodules
653 4 _aSequential forward selection
700 0 _aManal Abdelwahed ,
_eSupervisor
700 0 _aYasser M. Kadah ,
_eSupervisor
856 _uhttp://172.23.153.220/th.pdf
905 _aAml
_eCataloger
905 _aNazla
_eRevisor
942 _2ddc
_cTH
999 _c49568
_d49568