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pro vyhledávání: '"Caruso, Camillo Maria"'
Autor:
Guarrasi, Valerio, Aksu, Fatih, Caruso, Camillo Maria, Di Feola, Francesco, Rofena, Aurora, Ruffini, Filippo, Soda, Paolo
Deep learning has revolutionized biomedical research by providing sophisticated methods to handle complex, high-dimensional data. Multimodal deep learning (MDL) further enhances this capability by integrating diverse data types such as imaging, textu
Externí odkaz:
http://arxiv.org/abs/2408.02686
Handling missing values in tabular datasets presents a significant challenge in training and testing artificial intelligence models, an issue usually addressed using imputation techniques. Here we introduce "Not Another Imputation Method" (NAIM), a n
Externí odkaz:
http://arxiv.org/abs/2407.11540
Publikováno v:
Computer Methods and Programs in Biomedicine 254 (2024) 108308
In the field of lung cancer research, particularly in the analysis of overall survival (OS), artificial intelligence (AI) serves crucial roles with specific aims. Given the prevalent issue of missing data in the medical domain, our primary objective
Externí odkaz:
http://arxiv.org/abs/2307.11465
Publikováno v:
In Computer Methods and Programs in Biomedicine September 2024 254
One of the most challenging fields where Artificial Intelligence (AI) can be applied is lung cancer research, specifically non-small cell lung cancer (NSCLC). In particular, overall survival (OS) is a vital indicator of patient status, helping to ide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::365e0f013bf0cecf221004dd17dfda21
Autor:
Caruso, Camillo Maria, Guarrasi, Valerio, Cordelli, Ermanno, Sicilia, Rosa, Gentile, Silvia, Messina, Laura, Fiore, Michele, Piccolo, Claudia, Beomonte Zobel, Bruno, Iannello, Giulio, Ramella, Sara, Soda, Paolo
Publikováno v:
Journal of Imaging; Nov2022, Vol. 8 Issue 11, p298, 15p