Providing a Prostate Cancer Detection and Prevention Method With Developed Deep Learning Approach

Conclusions: The simulation results indicated that the proposed method has a performance advantage over the other state-of-the-art methods, and the accuracy of this method is up to 97.41%.

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Bibliographic Details
Main Authors: Alireza Zarei, Elias Mazrooei Rad, Shahryar Salmani Bajestani, Seyyed Ali Zendehbad
Format: Article
Language:English
Published: Wiley 2025-01-01
Series:Prostate Cancer
Online Access:http://dx.doi.org/10.1155/proc/2019841
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Description
Summary:Conclusions: The simulation results indicated that the proposed method has a performance advantage over the other state-of-the-art methods, and the accuracy of this method is up to 97.41%.
ISSN:2090-312X