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.
翻译:深入学习;常常用于生物医学领域图像的分离过程。近年来,人们发现,与其他图像分割方法相比,利用深层学习对前列腺图像进行的分割程序有所增加。看看文献;人们看到,通过深层学习对前列腺图像进行的分割过程是诊断和治疗前列腺癌症的一个重要步骤。为此原因,本研究要成为未来分裂行动的一个来源;对从磁共振成像装置获得的前列腺图像进行的深刻学习分离程序进行了研究。