Raman Spectroscopy Reveals Abnormal Changes in the Urine Composition of Prostate Cancer: An Application of an Intelligent Diagnostic Model with a Deep Learning Algorithm-Reference-Cited by-同舟云学术

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

Published:2021-01-14 Issue:4 Volume:3 Page:2000090
ISSN:2640-4567
Container-title:Advanced Intelligent Systems
language:en
Short-container-title:Advanced Intelligent Systems

Author:

Chen Shengnan¹,Zhang Heng²,Yang Xiangfei²,Shao Xiaoguang³,Li Taihao⁴,Chen Na²,Chen Zhenyi²,Xue Wei³,Pan Jiahua³,Liu Shupeng²^ORCID

Affiliation:

1. Department of Pathology Shanghai Chest Hospital Shanghai Jiao Tong University No. 241 West Huaihai Road Shanghai 200030 China

2. Key Laboratory of Specialty Fiber Optics and Optical Access Networks Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication Shanghai Institute for Advanced Communication and Data Science Shanghai University 333 Nanchen Road Shanghai 200444 China

3. Department of Urology Ren Ji hospital School of Medicine Shanghai Jiao Tong University Shanghai 200127 China

4. ZhejiangLab Institute of Artificial Intelligence 1818 Wenyi West Road Hangzhou Zhejiang 310000 China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/aisy.202000090

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3. Development of Improved Nomogram for Prediction of Outcome of Initial Prostate Biopsy Using Readily Available Clinical Information

4. Quantitative Third Harmonic Generation Microscopy for Assessment of Glioma in Human Brain Tissue

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