Performance evaluation of machine learning techniques in lung cancer classification from PET/CT images
Author:
Publisher
Centre for Evaluation in Education and Science (CEON/CEES)
Subject
Mechanical Engineering,Mechanics of Materials
Link
https://scindeks-clanci.ceon.rs/data/pdf/1451-2092/2019/1451-20921903418P.pdf
Reference20 articles.
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3. Van Ginneken, B., Schaefer-Prokop, C.M., Prokop, M.: Computer-aided diagnosis: how to move from the laboratory to the clinic, Radiology, Vol. 261, No. 3, pp 719-732, 2011.;
4. Doi, K.: Computer-aided diagnosis in medical imaging: historical review, current status and future potentia, Computerized Medical Imaging and Graphics, Vol. 31, No. 4-5, pp. 198-211, 2007.;
5. El-Baz, A., Beache, G.M., Gimel'farb, G., Suzuki, K., Okada, K., Elnakib, A., Soliman, A., Abdollahi, B.: Computer-aided diagnosis systems for lung cancer: challenges and methodologies. International Journal of Biomedical Imaging, 2013.;
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