Zaid Abduh Hassan Alsaidy  <br/><br/>
Computer-aided detection of pulmonary nodules in chest computed tomography images/  
 م  أورام ا  ر ا ا ار ة ا  
Zaid Abduh Hassan Alsaidy  ; Supervised Yasser M. Kadah , Manal Abdelwahed ,  
 - Cairo :   Zaid Abduh Hassan Alsaidy  ,   2014 
 - 78 P. :   facsimiles ;   30cm 
<br/><br/>Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Systems and Biomedical Engineering     
<br/><br/> Lung cancer remains the leading cause of cancer-related deaths in the world. Early diagnosis  can improve the effectiveness of treatment and increase the patients 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 
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<br/><br/><label>Subjects--Index Terms: </label>Computer-aided detection Pulmonary nodules  Sequential forward selection