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Radiomics for the Discrimination of Infiltrative vs In Situ Breast Cancer

Author

Listed:
  • Benedetta Tafuri
  • Luana Conte
  • Giorgio De Nunzio

    (Laboratory of Biomedical Physics and Environment, Department of Mathematics and Physics “Ennio De Giorgi†, University of Salento, Lecce, Italy)

  • Benedetta Tafuri
  • Luana Conte
  • 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)

Abstract

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

Suggested Citation

  • Benedetta Tafuri & Luana Conte & Giorgio De Nunzio & Benedetta Tafuri & Luana Conte & Giorgio De Nunzio & Maurizio Portaluri & Alessandro Galiano & Eleonora Maggiulli, 2019. "Radiomics for the Discrimination of Infiltrative vs In Situ Breast Cancer," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 24(1), pages 17890-17893, December.
    • Handle: RePEc:abf:journl:v:24:y:2019:i:1:p:17890-17893
    DOI: 10.26717/BJSTR.2019.24.003983
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    More about this item

    Keywords

    Biomedical Sciences; Biomedical Research; Technical Research; Breast Cancer; Radiomics; Machine Learning; Ductal Carcinoma In Situ;
    All these keywords.

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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