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.
| Original language | English |
|---|---|
| Title of host publication | International Forum on Medical Imaging in Asia 2019 |
| Editors | Jong Hyo Kim, Hiroshi Fujita, Feng Lin |
| Publisher | SPIE |
| ISBN (Electronic) | 9781510627758 |
| DOIs | |
| Publication status | Published - Jan 1 2019 |
| Event | International Forum on Medical Imaging in Asia 2019 - Singapore, Singapore Duration: Jan 7 2019 → Jan 9 2019 |
Publication series
| Name | Proceedings of SPIE - The International Society for Optical Engineering |
|---|---|
| Volume | 11050 |
| ISSN (Print) | 0277-786X |
| ISSN (Electronic) | 1996-756X |
Conference
| Conference | International Forum on Medical Imaging in Asia 2019 |
|---|---|
| Country | Singapore |
| City | Singapore |
| Period | 1/7/19 → 1/9/19 |
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All Science Journal Classification (ASJC) codes
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering
Cite this
Automated classification of histological subtypes of NSCLC using support vector machines with radiomic features. / Yamada, Masahiro; Arimura, Hidetaka; Ninomiya, Kenta; Soufi, Mazen.
International Forum on Medical Imaging in Asia 2019. ed. / Jong Hyo Kim; Hiroshi Fujita; Feng Lin. SPIE, 2019. 110500P (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 11050).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Automated classification of histological subtypes of NSCLC using support vector machines with radiomic features
AU - Yamada, Masahiro
AU - Arimura, Hidetaka
AU - Ninomiya, Kenta
AU - Soufi, Mazen
PY - 2019/1/1
Y1 - 2019/1/1
N2 - 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.
AB - 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.
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UR - http://www.scopus.com/inward/citedby.url?scp=85063862453&partnerID=8YFLogxK
U2 - 10.1117/12.2521511
DO - 10.1117/12.2521511
M3 - Conference contribution
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - International Forum on Medical Imaging in Asia 2019
A2 - Kim, Jong Hyo
A2 - Fujita, Hiroshi
A2 - Lin, Feng
PB - SPIE
ER -