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APA
Ana Rodrigues, Nuno Rodrigues, João Santinha, Maria V. Lisitskaya, Aycan Uysal, Celso Matos, Inês Domingues, Nickolas Papanikolaou, (2023). Value of handcrafted and deep radiomic features towards training robust machine learning classifiers for prediction of prostate cancer disease aggressiveness. Scientific Reports, 13, ISSN 2045-2322. eISSN . https://doi.org/10.1038/s41598-023-33339-0
IEEE
Ana Rodrigues, Nuno Rodrigues, João Santinha, Maria V. Lisitskaya, Aycan Uysal, Celso Matos, Inês Domingues, Nickolas Papanikolaou, "Value of handcrafted and deep radiomic features towards training robust machine learning classifiers for prediction of prostate cancer disease aggressiveness" in Scientific Reports, vol. 13, 2023.
10.1038/s41598-023-33339-0
BIBTEX
@article{63785,
author = {Ana Rodrigues and Nuno Rodrigues and João Santinha and Maria V. Lisitskaya and Aycan Uysal and Celso Matos and Inês Domingues and Nickolas Papanikolaou},
title = {Value of handcrafted and deep radiomic features towards training robust machine learning classifiers for prediction of prostate cancer disease aggressiveness},
journal = {Scientific Reports},
year = 2023,
volume = 13
}