Editorial: New diagnostic perspectives in urogenital radiology

Mohamed Shehata; Rasha T Abouelkheir; Mostafa Elhosseini

doi:10.3389/fmed.2023.1280300

Editorial: New diagnostic perspectives in urogenital radiology

Front Med (Lausanne). 2023 Nov 8:10:1280300. doi: 10.3389/fmed.2023.1280300. eCollection 2023.

Authors

Mohamed Shehata^{1

2}, Rasha T Abouelkheir³, Mostafa Elhosseini^{4

2}

Affiliations

¹ Department of Bioengineering, Speed School of Engineering, University of Louisville, Louisville, KY, United States.
² Department of Computers and Control Systems Engineering, Faculty of Engineering, Mansoura University, Mansoura, Egypt.
³ Department of Radiology, Urology and Nephrology Center, Mansoura University, Mansoura, Egypt.
⁴ College of Computer Science and Engineering, Taibah University, Yanbu, Saudi Arabia.

No abstract available

Keywords: COVID-19; MRI; artificial intelligence; computer-aided detection; deep learning; prostate cancer; renal cancer; urogenital abnormalities.

Publication types

Editorial

Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. The authors extend their appreciation to the Deputyship for Research and Innovation, Ministry of Education in Saudi Arabia, for funding this research work through project number 445-9-569.