TY  - BOOK
AU  - Zaid Abduh Hassan Alsaidy 
AU  - Manal Abdelwahed  , 
AU  - Yasser M. Kadah , 
TI  - Computer-aided detection of pulmonary nodules in chest computed tomography images/ 
PY  - 2014///
CY  - Cairo : 
PB  - Zaid Abduh Hassan Alsaidy  , 
KW  - Computer-aided detection
KW  - Pulmonary nodules
KW  - Sequential forward selection
N1  - Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Systems and Biomedical Engineering; Issued also as CD
N2  - Lung 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
UR  - http://172.23.153.220/th.pdf
ER  -