Gehad Ismail Sayed Ismail <br/><br/>
Automatic computer-aided diagnosis system in medical imaging /  
 نظام للتشخيص الآلى للصور الطبية 
Gehad Ismail Sayed Ismail ; Supervised Aboulella Hassinen 
 - Cairo :   Gehad Ismail Sayed Ismail ,   2016 
 - 112 Leaves :   charts , facsimiles ;   30cm 
<br/><br/>Thesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Information Technology 
<br/><br/> The main objective of thesis is to provide a fully automatic system to assist radiologists in imaging interpretation and help surgeons in identifying the tumors. Thesis is focused on diagnosis several medical imaging modalities: CT liver imaging, chromosomes and breast histopathology slide imaging and breast thermal imaging. The proposed CAD systems are divided into: organ segmentation, abnormalities regions extraction, features extraction and finally candidates classification. These systems are depending on Neutrosophic Sets and Swarm Optimization approaches 
<br/><br/>
<br/><br/><label>Subjects--Index Terms: </label>Grey wolf optimizer Neutrosophic set Particle swarm optimization