| 000 | 01731cam a2200325 a 4500 | ||
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| 003 | EG-GiCUC | ||
| 005 | 20250223031549.0 | ||
| 008 | 160921s2016 ua dh f m 000 0 eng d | ||
| 040 |
_aEG-GiCUC _beng _cEG-GiCUC |
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| 041 | 0 | _aeng | |
| 049 | _aDeposite | ||
| 097 | _aM.Sc | ||
| 099 | _aCai01.20.01.M.Sc.2016.Ge.A | ||
| 100 | 0 | _aGehad Ismail Sayed Ismail | |
| 245 | 1 | 0 |
_aAutomatic computer-aided diagnosis system in medical imaging / _cGehad Ismail Sayed Ismail ; Supervised Aboulella Hassinen |
| 246 | 1 | 5 | _aنظام للتشخيص الآلى للصور الطبية |
| 260 |
_aCairo : _bGehad Ismail Sayed Ismail , _c2016 |
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| 300 |
_a112 Leaves : _bcharts , facsimiles ; _c30cm |
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| 502 | _aThesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Information Technology | ||
| 520 | _aThe 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{u2019} classification. These systems are depending on Neutrosophic Sets and Swarm Optimization approaches | ||
| 530 | _aIssued also as CD | ||
| 653 | 4 | _aGrey wolf optimizer | |
| 653 | 4 | _aNeutrosophic set | |
| 653 | 4 | _aParticle swarm optimization | |
| 700 | 0 |
_aAboulella Hassinen , _eSupervisor |
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| 856 | _uhttp://172.23.153.220/th.pdf | ||
| 905 |
_aEnas _eCataloger |
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| 905 |
_aNazla _eRevisor |
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| 942 |
_2ddc _cTH |
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| 999 |
_c57817 _d57817 |
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