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Publication details

Document type
Journal articles

Document subtype
Full paper

Title
Deep Learning Features Can Improve Radiomics-Based Prostate Cancer Aggressiveness Prediction

Participants in the publication
Nuno M. Rodrigues (Author)
José Guilherme de Almeida (Author)
Ana Rodrigues (Author)
Leonardo Vanneschi (Author)
Celso Matos (Author)
Maria V. Lisitskaya (Author)
Aycan Uysal (Author)
Sara Silva (Author)
Dep. Informática
LASIGE
Nickolas Papanikolaou (Author)

Date of Publication
2024-09

Where published
JCO Clinical Cancer Informatics

Publication Identifiers
ISSN - 2473-4276

Publisher
American Society of Clinical Oncology (ASCO)

Number
8

Document Identifiers
DOI - https://doi.org/10.1200/cci.23.00180
URL - https://doi.org/10.1200/cci.23.00180

Rankings
SCIMAGO Q1 (2023) - 1.396 - Health Informatics


Export

APA
Nuno M. Rodrigues, José Guilherme de Almeida, Ana Rodrigues, Leonardo Vanneschi, Celso Matos, Maria V. Lisitskaya, Aycan Uysal, Sara Silva, Nickolas Papanikolaou, (2024). Deep Learning Features Can Improve Radiomics-Based Prostate Cancer Aggressiveness Prediction. JCO Clinical Cancer Informatics, ISSN 2473-4276. eISSN . https://doi.org/10.1200/cci.23.00180

IEEE
Nuno M. Rodrigues, José Guilherme de Almeida, Ana Rodrigues, Leonardo Vanneschi, Celso Matos, Maria V. Lisitskaya, Aycan Uysal, Sara Silva, Nickolas Papanikolaou, "Deep Learning Features Can Improve Radiomics-Based Prostate Cancer Aggressiveness Prediction" in JCO Clinical Cancer Informatics, 2024. 10.1200/cci.23.00180

BIBTEX
@article{63627, author = {Nuno M. Rodrigues and José Guilherme de Almeida and Ana Rodrigues and Leonardo Vanneschi and Celso Matos and Maria V. Lisitskaya and Aycan Uysal and Sara Silva and Nickolas Papanikolaou}, title = {Deep Learning Features Can Improve Radiomics-Based Prostate Cancer Aggressiveness Prediction}, journal = {JCO Clinical Cancer Informatics}, year = 2024, }