Radiomics for the Discrimination of Infiltrative vs In Situ Breast Cancer

Benedetta Tafuri, Luana Conte, Giorgio De Nunzio, Benedetta Tafuri, Luana Conte, Giorgio De Nunzio, Maurizio Portaluri, Alessandro Galiano and Eleonora Maggiulli
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Giorgio De Nunzio: Laboratory of Biomedical Physics and Environment, Department of Mathematics and Physics “Ennio De Giorgi†, University of Salento, Lecce, Italy
Giorgio De Nunzio: Laboratory of Interdisciplinary Research Applied to Medicine (DReAM), University of Salento and ASL (Local Health Authority), Lecce, Italy
Maurizio Portaluri: ASL (Local Health Authority), Brindisi, and 'Di Summa-Perrino' Hospital, Operative Unit of Radiotherapy, Brindisi, Italy
Alessandro Galiano: ASL (Local Health Authority), Brindisi, and 'Di Summa-Perrino' Hospital, Operative Unit of Radiodiagnostics, Brindisi, Italy
Eleonora Maggiulli: ASL (Local Health Authority), Brindisi, and 'Di Summa-Perrino' Hospital, Operative Unit of Medical Physics, Brindisi, Italy

Biomedical Journal of Scientific & Technical Research, 2019, vol. 24, issue 1, 17890-17893

Abstract: Breast cancer is the most common malignant tumor in women worldwide. Its early diagnosis relies on radiology...

Keywords: Biomedical Sciences; Biomedical Research; Technical Research; Breast Cancer; Radiomics; Machine Learning; Ductal Carcinoma In Situ (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:abf:journl:v:24:y:2019:i:1:p:17890-17893

DOI: 10.26717/BJSTR.2019.24.003983

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