Computer-Aided Diagnosis of Lung Cancer in Magnetic Resonance Imaging Exams-Reference-Cited by-同舟云学术

Computer-Aided Diagnosis of Lung Cancer in Magnetic Resonance Imaging Exams

Published:2019 Issue: Volume: Page:121-127
ISSN:1680-0737
Container-title:XXVI Brazilian Congress on Biomedical Engineering
language:
Short-container-title:

Author:

Francisco Victor,Koenigkam-Santos Marcel,Wada Danilo Tadao,Junior José Raniery Ferreira,Fabro Alexandre Todorovic,Cipriano Federico Enrique Garcia,Quatrina Sathya Geraldo,de Azevedo-Marques Paulo Mazzoncini

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-13-2517-5_19

Reference18 articles.

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3. Ferreira, J.R., Oliveira, M.C., de Azevedo-Marques, P.M.: Characterization of pulmonary nodules based on features of margin sharpness and texture. J. Digit. Imaging, 1–13 (2017)

4. Junior, J.R.F., Koenigkam-Santos, M., Cipriano, F.E.G., Fabro, A.T., de Azevedo-Marques, P.M.: Radiomics-based features for pattern recognition of lung cancer histopathology and metastases. Comput. Methods Programs Biomed. 159, 23–30 (2018)

5. Coolen, J., Vansteenkiste, J., De Keyzer, F., Decaluwé, H., De Wever, W., Deroose, C., Dooms, C., Verbeken, E., De Leyn, P., Vandecaveye, V., Van Raemdonck, D.: Characterisation of solitary pulmonary lesions combining visual perfusion and quantitative diffusion MR imaging. Eur. Radiol. 24(2), 531–541 (2014)

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