A SURVEY OF DEEP LEARNING MODEL FOR PROSTATE CANCER DIAGNOSIS

Izogie L. E.; M.I Akazue; E. I. Ihama

doi:10.33003/fjs-2025-0911-4187

Authors

Izogie L. E.
eyoski@yahoo.com

Edo State Polytechnic, Usen, Benin City
M.I Akazue
Department of Computer Sciences, Faculty of Science, Delta State University, Abraka, Nigeria
E. I. Ihama
Department of Computer Science and Information Technology, School of Applied Sciences, Edo State Polytechnic, Usen, Benin City, Nigeria

Keywords:

Prostate Cancer Detection, Artificial Intelligence (AI), Deep Learning (DL), Machine Learning Models, ResNet, Faster R-CNN

Abstract

Prostate cancer is one of the common types of cancer in men, and it is estimated that 1 out of 9 men will be diagnosed with prostate cancer at some point during their lifetime. AI techniques are being used to detect prostate cancer to improve accuracy and reduce costs, such as Machine Learning (ML) and Deep Learning (DL), which are used to analyze MRI scans and CT scans to analyze patient data such as age, race, family history, and lifestyle factors. The use of DL for prostate cancer detection can help reduce costs by reducing the need for expensive biopsies and other tests. This paper discussed different model and method used in predicting prostate cancer.

Dimensions

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A SURVEY OF DEEP LEARNING MODEL FOR PROSTATE CANCER DIAGNOSIS

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