Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Prof. Mugahed A. Al-antari"'
Autor:
Sachin Narangale, MOHAMMED AL-MASNI, Noha Mahmoud, Aymen Al-Hejri, Nagwan Abdel Samee, Prof. Mugahed A. Al-antari, Riyadh Al-Tam
Publikováno v:
Biomedicines; Volume 10; Issue 11; Pages: 2971
Breast cancer, which attacks the glandular epithelium of the breast, is the second most common kind of cancer in women after lung cancer, and it affects a significant number of people worldwide. Based on the advantages of Residual Convolutional Netwo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b5bbf8260e8aafb1452ddf8a6f053ff5
Autor:
Prof. Mugahed A. Al-antari
Publikováno v:
Diagnostics. 13:688
We would like to express our gratitude to all authors who contributed to the Special Issue of “Artificial Intelligence Advances for Medical Computer-Aided Diagnosis” by providing their excellent and recent research findings for AI-based medical d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b751125b698953ddbb32085f1991abdd
https://doi.org/10.3390/diagnostics13040688
https://doi.org/10.3390/diagnostics13040688
Autor:
Souham Meshoul, Ghada Emam Atteia, Yasser Kadah, Nagwan Abdel Samee, Prof. Mugahed A. Al-antari
Publikováno v:
Mathematics; Volume 10; Issue 19; Pages: 3631
With the help of machine learning, many of the problems that have plagued mammography in the past have been solved. Effective prediction models need many normal and tumor samples. For medical applications such as breast cancer diagnosis framework, it
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::896be1e391b174a9700498a8a98f49aa
https://doi.org/10.3390/math10193631
https://doi.org/10.3390/math10193631