Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Rania Mohamed A. Hegazy"'
Autor:
Safaa Ibrahim Saif El-nasr, Norhan Mohamed Samy ElSayed, Eman Badawy, Sherif Nasser Taha, Rania Mohamed A. Hegazy
Publikováno v:
The Egyptian Journal of Radiology and Nuclear Medicine, Vol 55, Iss 1, Pp 1-11 (2024)
Abstract Background Numerous underlying causes can lead to inflammatory breast disorders. A wide range of non-specific symptoms may be presenting symptoms, which could cause a delay in diagnosis and thus improper therapy. Studies on artificial intell
Externí odkaz:
https://doaj.org/article/71ad7de0059d49dd9ae405236ca920cb
Autor:
Yasmin Essam EL Din Mohamed Abdallah, Yassmen Hassan Ahmed Mostafa, Hassan Moustafa Ismaeil Gaafar, Rania Mohamed Abbas Hegazy
Publikováno v:
Egyptian Journal of Radiology and Nuclear Medicine. 54
Background Cervical incompetence is a failure of the cervix to retain the products of conception throughout pregnancy, which results into cervical dilatation and preterm delivery. Many methods are conducted for early detection of cervical shortening,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ed44d3b99b5a62f5c50645c965bc76f
https://doi.org/10.1186/s43055-022-00951-5
https://doi.org/10.1186/s43055-022-00951-5
Autor:
Safaa Ibrahim Saif El-nasr, Neveen Gamal Fathy Ali, Rania Mohamed Abbas Hegazy, Yehia Mohamed Safwat, Marwa Mohamed Mohamed Onsy
Publikováno v:
The Egyptian Journal of Radiology and Nuclear Medicine, Vol 55, Iss 1, Pp 1-10 (2024)
Abstract Background For women worldwide, breast cancer is considered a significant public health concern. The development of enormous changes caused by surgery and irradiation makes diagnosing the postoperative breast a complicated procedure. The cur
Externí odkaz:
https://doaj.org/article/f3c6f958a5a34b7d8c511c71be47f898
Autor:
Eman Badawy, Fatma S. Shalaby, Safaa Ibrahim Saif-El-nasr, Aya Magdy Elyamany, Rania Mohamed Abbas Hegazy
Publikováno v:
The Egyptian Journal of Radiology and Nuclear Medicine, Vol 54, Iss 1, Pp 1-12 (2023)
Abstract Background Recent significant advancements in speed and machine learning have profoundly changed artificial intelligence (AI). In order to evaluate the value of AI in the detection and diagnosis of BIRADS 4 and 5 breast lesions visible on di
Externí odkaz:
https://doaj.org/article/6dd2bae7c66c45eea88c276086e82d39
Autor:
Rania Mohamed Abbas Hegazy, Shereen Mohamed AbdelRaouf Khalil, Sherif Mohamed Mokhtar, Fatma Mohamed AbdelRahman Awad
Publikováno v:
The Egyptian Journal of Radiology and Nuclear Medicine, Vol 54, Iss 1, Pp 1-12 (2023)
Abstract Background Breast cancer is the most frequent cancer affecting females. It represents leading cause of death from all cancers in females. Traditionally, axillary staging was surgically assessed by axillary lymph node dissection (ALND), which
Externí odkaz:
https://doaj.org/article/716f2a81acb647728e7a2a26c1b76d6b