Raman Spectroscopy Reveals Abnormal Changes in the Urine Composition of Prostate Cancer: An Application of an Intelligent Diagnostic Model with a Deep Learning Algorithm

Raman Spectroscopy Reveals Abnormal Changes in the Urine Composition of Prostate Cancer: An Application of an Intelligent Diagnostic Model with a Deep Learning Algorithm

Early diagnosis of prostate cancer (PCa) is always a great challenge in clinical practice, especially in distinguishing benign prostatic hyperplasia (BPH) from early cancer, due to the high similarity in pathology from the prostate‐specific antigen (PSA) test and radiological detection. The conventi...

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Bibliographic Details
Main Authors: Shengnan Chen, Heng Zhang, Xiangfei Yang, Xiaoguang Shao, Taihao Li, Na Chen, Zhenyi Chen, Wei Xue, Jiahua Pan, Shupeng Liu
Format: Article
Language:English
Published: Wiley 2021-04-01
Series:Advanced Intelligent Systems
Subjects:
convolutional neural network
deep learning
prostate cancer diagnosis
Raman spectrum
urine
Online Access:https://doi.org/10.1002/aisy.202000090

Internet

https://doi.org/10.1002/aisy.202000090

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