Classification of early stage non-small cell lung cancers on computed tomographic images into histological types using radiomic features: interobserver delineation variability analysis-Reference-Cited by-同舟云学术

Classification of early stage non-small cell lung cancers on computed tomographic images into histological types using radiomic features: interobserver delineation variability analysis

Published:2017-12-05 Issue:1 Volume:11 Page:27-35
ISSN:1865-0333
Container-title:Radiological Physics and Technology
language:en
Short-container-title:Radiol Phys Technol

Author:

Haga Akihiro,Takahashi Wataru,Aoki Shuri,Nawa Kanabu,Yamashita Hideomi,Abe Osamu,Nakagawa Keiichi

Funder

Japan Society for the Promotion of Science (JSPS) KAKENHI JP Scientific Research (C)

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging,Physical Therapy, Sports Therapy and Rehabilitation,General Medicine,Radiation

Link

http://link.springer.com/article/10.1007/s12194-017-0433-2/fulltext.html

Reference25 articles.

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3. Aerts HJ, Velazquez ER, Leijenaar RT, Parmar C, Grossmann P, Carvalho S, et al. Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach. Nat Commun. 2014;5:4006.

4. Lambin P, Rios-Velazquez E, Leijenaar R, Carvalho S, Van Stiphout RGPM, Granton P, et al. Radiomics: extracting more information from medical images using advanced feature analysis. Eur J Cancer. 2012;48(4):441–6.

5. Yamamoto S, Korn RL, Oklu R, Migdal C, Gotway MB, Weiss GJ, et al. ALK molecular phenotype in non-small cell lung cancer: CT radiogenomic characterization. Radiology. 2014;272(2):568–76.

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