Optimal Deep Learning Enabled Prostate Cancer Detection Using Microarray Gene Expression.

Saved in:
Bibliographic Details
Title: Optimal Deep Learning Enabled Prostate Cancer Detection Using Microarray Gene Expression.
Authors: Alshareef AM; Department of Information Systems, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia., Alsini R; Department of Information Systems, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia., Alsieni M; Department of Pharmacology, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia., Alrowais F; Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P. O. Box 84428, Riyadh 11671, Saudi Arabia., Marzouk R; Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia., Abunadi I; Department of Information Systems, College of Computer and Information Sciences, Prince Sultan University, P.O. Box No. 66833, Rafha Street, Riyadh 11586, Saudi Arabia., Nemri N; Department of Information Systems, College of Science and Arts at Muhayel, King Khalid University, Mahayel Aseer, Saudi Arabia.
Source: Journal of healthcare engineering [J Healthc Eng] 2022 Mar 10; Vol. 2022, pp. 7364704. Date of Electronic Publication: 2022 Mar 10 (Print Publication: 2022).
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Hindawi Publishing Country of Publication: England NLM ID: 101528166 Publication Model: eCollection Cited Medium: Internet ISSN: 2040-2309 (Electronic) Linking ISSN: 20402295 NLM ISO Abbreviation: J Healthc Eng Subsets: MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
Be the first to leave a comment!
You must be logged in first