Research progress of convolutional neural networks in the diagnosis of prostate cancer / 中华泌尿外科杂志

ABSTRACT

Prostate cancer has become the one of the most common urinary tract malignant tumor in men in China. Convolutional neural network is one of the representative model and promising deep learning algorithm in artificial intelligence. It has shown superior performance and application value in the diagnosis of prostate cancer. For multi-parameter magnetic resonance and pathological images, it can achieve diagnostic performance equivalent to that of radiologists and pathologists, and could obtain more disease information. There are also important applications of it in identification of disease-causing genes and Raman spectroscopy-based laboratory diagnosis. This article reviews the research progress of convolutional neural networks in the diagnosis of prostate cancer in radiology, pathology, genetics and laboratory.