A Review on The Division of Magnetic Resonant Prostate Images with Deep Learning

TL;DR

This paper reviews the use of deep learning techniques for dividing magnetic resonance prostate images, emphasizing its importance for prostate cancer diagnosis and treatment, and aims to guide future research in this area.

Contribution

It provides a comprehensive review of deep learning methods used for prostate image segmentation in MRI, highlighting recent advancements and identifying future research directions.

Findings

Deep learning methods are increasingly used for prostate image segmentation.

Deep learning improves accuracy and efficiency in prostate MRI analysis.

The review identifies key challenges and future opportunities in the field.

Abstract

Deep learning; it is often used in dividing processes on images in the biomedical field. In recent years, it has been observed that there is an increase in the division procedures performed on prostate images using deep learning compared to other methods of image division. Looking at the literature; It is seen that the process of dividing prostate images, which are carried out with deep learning, is an important step for the diagnosis and treatment of prostate cancer. For this reason, in this study; to be a source for future splitting operations; deep learning splitting procedures on prostate images obtained from magnetic resonance (MRI) imaging devices were examined.