000			01652cam a2200337 a 4500
003			EG-GiCUC
005			20250223030520.0
008			111123s2011 ua h f m 000 0 eng d
040			_aEG-GiCUC _beng _cEG-GiCUC
041	0		_aeng
049			_aDeposite
097			_aM.Sc
099			_aCai01.20.01.M.Sc.2011.So.P
100	0		_aSoad Samir Kamal Ahmed Elsaba
245	1	2	_aA proposed system for 3D medical image segmentation / _cSoad Samir Kamal Ahmed Elsaba ; Supervised Hoda Mohammed Onsi , Khaled Moustafa Elsayed
246	1	5	_aنظام مقترح لتقسيم الصور الطبية الثلاثية الأبعاد
260			_aCairo : _bSoad Samir Kamal Ahmed Elsaba , _c2011
300			_a119 Leaves : _bfacsimiles ; _c30cm
502			_aThesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Information Technology
520			_aMajor advances in the field of medical imaging over the past two decades have provided physicians with powerful, non-invasive techniques to probe the structure, function, and pathology of the human body. This increasingly vast and detailed amount of information constitutes a great challenge for the medical imaging community, and requires significant innovations in all aspect of image processing
530			_aIssued also as CD
653		4	_aActive contours
653		4	_aGraph based segmentation
653		4	_aMedical images
700	0		_aHoda Mohammed Onsi , _eSupervisor
700	0		_aKhaled Moustafa Elsayed , _eSupervisor
856			_uhttp://172.23.153.220/th.pdf
905			_aNazla _eRevisor
905			_aSamia _eCataloger
942			_2ddc _cTH
999			_c36331 _d36331