Automated classification of histological subtypes of NSCLC using support vector machines with radiomic features

Masahiro Yamada; Hidetaka Arimura; Kenta Ninomiya; Mazen Soufi

doi:10.1117/12.2521511

27 March 2019 Automated classification of histological subtypes of NSCLC using support vector machines with radiomic features

Masahiro Yamada, Hidetaka Arimura, Kenta Ninomiya, Mazen Soufi

Author Affiliations +

Proceedings Volume 11050, International Forum on Medical Imaging in Asia 2019; 110500P (2019) https://doi.org/10.1117/12.2521511
Event: 2019 Joint International Workshop on Advanced Image Technology (IWAIT) and International Forum on Medical Imaging in Asia (IFMIA), 2019, Singapore, Singapore

Abstract

Histological subtypes, i.e. adenocarcinoma (ADN) and squamous cell carcinoma (SCC), identified from a single biopsy occasionally differ from those from actual surgical resections in NSCLC. For increasing the classification accuracy, we aim to develop an automated approach for classifying histological subtypes of NSCLC using Gaussian, linear and polynomial support vector machines (SVMs) with radiomic features. Classification models of Gaussian, linear and polynomial SVMs constructed with radiomic features achieved the areas under the curves of 0.7542, 0.7522 and 0.7531, respectively. Histological subtypes of NSCLC could be classified into ADN and SCC using a Gaussian SVM with radiomic features.

Citation Download Citation

Masahiro Yamada, Hidetaka Arimura, Kenta Ninomiya, and Mazen Soufi "Automated classification of histological subtypes of NSCLC using support vector machines with radiomic features", Proc. SPIE 11050, International Forum on Medical Imaging in Asia 2019, 110500P (27 March 2019); https://doi.org/10.1117/12.2521511

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