Mr. Zhexin Xu Profile

Zhexin Xu

at Fujian Normal Univ

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 14 February 2020 Paper

Automated Gleason grading of prostate cancers via deep learning in label-free multiphoton microscopic images

Jianyong Cai, Qinqin Yang, Zhexin Xu, Hong Chen, Xiaoqin Zhu

Proceedings Volume 11244, 112442A (2020) https://doi.org/10.1117/12.2545881

KEYWORDS: Prostate cancer, Second-harmonic generation, Image classification, Visualization, Diagnostics, Tumors

Read Abstract +

In the current clinical care, Gleason grading system based on the architectural pattern of cancerous epithelium in histological images is the most powerful prognostic predictor for prostate cancers (PCa). However, the standard procedure of histological examination often includes complicated tissue fixation and staining, which are time-consuming and may delay the diagnosis and surgery. In this study, the unstained prostate tissues were investigated with multiphoton microscopy (MPM) to produce subcellular-resolution images. And then, a deep learning network (AlexNet) was introduced for automated Gleason grading. We achieved an average accuracy of Gleason grading of 78.1%±3.4% for classification. And the area under the curve (AUC) in test set achieves 0.943 which indicates that the proposed model is effective in Gleason grading. At the end, the heat map was performed to visualize the Gleason score of tumour. Our results suggested that MPM, combined with deep learning method, holds the potential to be used as a real-time clinical diagnostic tool for PCa diagnosis.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years