A method of dividing clinical data set for medical image AI training

Dezhong Zheng; Yuanyuan Yang; Wentao Li

doi:10.1117/12.2549552

2 March 2020 A method of dividing clinical data set for medical image AI training

Dezhong Zheng, Yuanyuan Yang, Wentao Li

Proceedings Volume 11318, Medical Imaging 2020: Imaging Informatics for Healthcare, Research, and Applications; 113180N (2020) https://doi.org/10.1117/12.2549552
Event: SPIE Medical Imaging, 2020, Houston, Texas, United States

Abstract

In the AI training, the data set is always divided into training set and test set at random, but the clinical image data from hospitals is different from the public data set. The division of public data set is reasonably divided and evenly distributed after many experiments. Accurate understanding of the data distribution directly affects the training model quality. So we proposed a new method of dividing clinical data set based on distance metric learning of the Gaussian mixture model to obtain more reasonable data set divisions. The distance metric learning based on deep neural network, first embeds data into a new metric space, then in the metric space uses in-depth mining based on data characteristics, calculates the distance between samples, finally compares the differences. The method can accurately know the data distribution characteristics to a certain extent. Under the condition of understanding the data distribution characteristics, more reasonable divisions can be obtained. That can greatly affect the accuracy and generalization performance of the models we trained.

Citation Download Citation

Dezhong Zheng, Yuanyuan Yang, and Wentao Li "A method of dividing clinical data set for medical image AI training", Proc. SPIE 11318, Medical Imaging 2020: Imaging Informatics for Healthcare, Research, and Applications, 113180N (2 March 2020); https://doi.org/10.1117/12.2549552

ACCESS THE FULL ARTICLE

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: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
10 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Data modeling

Medical imaging

Statistical modeling

Feature extraction

Artificial intelligence

Laser sintering

Performance modeling

Show All Keywords

Keywords/Phrases

Search In:

Publication Years