An Automated Prostate-cancer Prediction System (APPS) Based on Advanced DFO-ConGA2L Model using MRI Imaging Technique

An Automated Prostate-cancer Prediction System (APPS) Based on Advanced DFO-ConGA2L Model using MRI Imaging Technique

The prostate cancer is a deadly form of cancer that assassinates a significant number of men due of its mediocre identification process. Images from people with cancer include important and intricate details that are difficult for conventional diagnostic methods to extract. This work establishes a...

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Bibliographic Details
Main Authors: Sathesh Abraham Leo E, Nattar Kannan K
Format: Article
Language:English
Published: College of Education, Al-Iraqia University 2024-02-01
Series:Iraqi Journal for Computer Science and Mathematics
Subjects:
Prostate Cancer Detection, Artificial Intelligence (AI), Deep Learning, Magnetic Resonance Image (MRI), Automated Prostate-cancer Prediction System (APPS), Coherence Diffusion Filtering (CDFilter), Dragon Fly Optimized Feature Selection (DFO-FS), and Classification
Online Access:https://journal.esj.edu.iq/index.php/IJCM/article/view/1400

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