Research progress of convolutional neural networks in the diagnosis of prostate cancer
10.3760/cma.j.cn112330-20210817-00431
- VernacularTitle:卷积神经网络在前列腺癌诊断中应用的研究进展
- Author:
Yuhao WANG
1
;
Zengjun WANG
Author Information
1. 南京医科大学第一附属医院（江苏省人民医院）泌尿外科，南京 210029
- Keywords:
Prostatic neoplasms;
Convolutional neural network;
Prostate cancer;
Diagnosis;
Research progress
- From:
Chinese Journal of Urology
2022;43(8):637-640
- CountryChina
- Language:Chinese
-
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.
