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| 003 | EG-GiCUC | ||
| 005 | 20250223032638.0 | ||
| 008 | 201130s2020 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 | _aCai01.13.03.M.Sc.2020.Sa.N | ||
| 100 | 0 | _aSamar Ragab Ramadan Ibrahim | |
| 245 | 1 | 0 |
_aNovel technique for breast density assessment using free-hand B-mode ultrasound imaging / _cSamar Ragab Ramadan Ibrahim ; Supervised hmed M. Ehab Mahmoud |
| 246 | 1 | 5 | _aتقنية جديدة لتقدير كثافة الثدى باستخدام الصور العادية للموجات الفوق صوتية |
| 260 |
_aCairo : _bSamar Ragab Ramadan Ibrahim , _c2020 |
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| 300 |
_a65 P. : _bcharts , facimiles ; _c30cm |
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| 502 | _aThesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Systems and Biomedical Engineering | ||
| 520 | _aBreast cancer is the leading cancer type in women worldwide. Breast density is considered as an independent risk factor for developing breast cancer. Mammography and ultrasound imaging are the most common non-invasive imaging tools to detect breast tumors. However, mammography may show lower sensitivity to detect breast cancer in dense breasts.Thus, other complementary imaging tools can be used to investigate dense breasts more accurate. Ultrasound shows higher sensitivity to detect tumors than mammography in dense breast. Computer-aided diagnosis (CAD) systems have been proposed to assess breast density using mammography imaging, while very few teams have investigated the use of US imaging. This work introduces a novel method to assess breast density using conventional B-modes ultrasound imaging | ||
| 530 | _aIssued also as CD | ||
| 653 | 4 | _aBreast cancer | |
| 653 | 4 | _aBreast density | |
| 653 | 4 | _aUltrasound images | |
| 700 | 0 |
_aAhmed M. Ehab Mahmoud , _eSupervisor |
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| 856 | _uhttp://172.23.153.220/th.pdf | ||
| 905 |
_aNazla _eRevisor |
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| 905 |
_aShimaa _eCataloger |
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| 942 |
_2ddc _cTH |
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| 999 |
_c79039 _d79039 |
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