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Publication details

Document type
Journal articles

Document subtype
Full paper

Title
Value of handcrafted and deep radiomic features towards training robust machine learning classifiers for prediction of prostate cancer disease aggressiveness

Participants in the publication
Ana Rodrigues (Author)
Nuno Rodrigues (Author)
LASIGE
João Santinha (Author)
Maria V. Lisitskaya (Author)
Aycan Uysal (Author)
Celso Matos (Author)
Inês Domingues (Author)
Nickolas Papanikolaou (Author)

Date of Publication
2023-04-17

Where published
Scientific Reports

Publication Identifiers
ISSN - 2045-2322

Publisher
Springer Science and Business Media LLC

Volume
13
Number
1

Document Identifiers
DOI - https://doi.org/10.1038/s41598-023-33339-0
URL - https://doi.org/10.1038/s41598-023-33339-0

Rankings
SCIMAGO Q1 (2022) - 0.973 - Multidisciplinary
Web Of Science Q2 (2022) - 4.6 - MULTIDISCIPLINARY SCIENCES - SCIE


Export

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 }