Brain tumor diagnosis using EfficientNet

Wuhao Du; Yujie He; Yancheng Li; Ziqi Wu

doi:10.1117/12.2623082

1 December 2021 Brain tumor diagnosis using EfficientNet

Wuhao Du, Yujie He, Yancheng Li, Ziqi Wu

Proceedings Volume 12079, Second IYSF Academic Symposium on Artificial Intelligence and Computer Engineering; 1207905 (2021) https://doi.org/10.1117/12.2623082
Event: 2nd IYSF Academic Symposium on Artificial Intelligence and Computer Engineering, 2021, Xi'an, China

Abstract

Implementing accurate and precise brain tumor MRIs classification in diagnosis for patient treatment is a pivotal part of Computer-Aided Diagnosis (CAD) for medical applications. Our work focuses on glioma, meningioma, and pituitary tumors, three typical types. To extract latent features from brain MRIs more efficiently, we adopt transfer learning and use EfficientNet in our classification system, gaining a 4-category classification (3 types of tumors and no tumor) accuracy of about 98%. In the experiment, comparing some popular transfer learning neural networks, we find out that as the depth of neural network increases, the classification accuracy increases, which means neural networks with more convolutional layers have stronger discrimination. To make this work available for the public, we implement our method as an online application with more flexibility by developing a Speech Synthesis System and User Interface.

Citation Download Citation

Wuhao Du, Yujie He, Yancheng Li, and Ziqi Wu "Brain tumor diagnosis using EfficientNet", Proc. SPIE 12079, Second IYSF Academic Symposium on Artificial Intelligence and Computer Engineering, 1207905 (1 December 2021); https://doi.org/10.1117/12.2623082

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
8 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Tumors

Brain

Magnetic resonance imaging

Data modeling

Neuroimaging

Neural networks

RGB color model

Show All Keywords

Keywords/Phrases

Search In:

Publication Years