A Review on The Division of Magnetic Resonant Prostate Images with Deep Learning
This is an incremental review paper summarizing existing methods for a specific medical imaging domain.
This paper reviews deep learning methods for segmenting prostate images from MRI scans, noting their increasing adoption compared to other segmentation techniques and their importance in diagnosing and treating prostate cancer.
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.