A prostate cancer computer aided diagnosis software including malignancy tumor probabilistic classification

Alessandro Savino, Alfredo Benso, Stefano Di Carlo, Valentina Giannini, Anna Vignati, Simone Mazzetti, Gianfranco Politano, Daniele Regge

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Prostate Cancer (PCa) is the most common solid neoplasm in males and a major cause of cancer-related death. Screening based on Prostate Specific Antigen (PSA) reduces the rate of death by 31%, but it is associated with a high risk of over-diagnosis and over-treatment. Prostate Magnetic Resonance Imaging (MRI) has the potential to improve the specificity of PSA-based screening scenarios as a non-invasive detection tool. Research community effort focused on classification techniques based on MRI in order to produce a malignancy likelihood map. The paper describes the prototyping design, the implemented work-flow and the software architecture of a Computer Aided Diagnosis (CAD) software which aims at providing a comprehensive diagnostic tool, including an integrated classification stack, from a preliminary registration of images to the classification process. This software can improve the diagnostic accuracy of the radiologist, reduce reader variability and speed up the whole diagnostic work-up.

Original languageEnglish
Title of host publicationBIOIMAGING 2014 - 1st International Conference on Bioimaging, Proceedings; Part of 7th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014
PublisherSciTePress
Pages49-54
Number of pages6
ISBN (Print)9789897580147
Publication statusPublished - 2014
Event1st International Conference on Bioimaging, BIOIMAGING 2014 - Part of 7th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014 - Angers, Loire Valley, France
Duration: Mar 3 2014 → Mar 6 2014

Other

Other1st International Conference on Bioimaging, BIOIMAGING 2014 - Part of 7th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014
CountryFrance
CityAngers, Loire Valley
Period3/3/14 → 3/6/14

Keywords

  • Computer Aided Diagnosis
  • Magnetic Resonance Imaging (MRI)
  • Malignancies Probabilistic Classification
  • Prostate Cancer
  • Software Design

ASJC Scopus subject areas

  • Control and Systems Engineering

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    • Cite this

    Savino, A., Benso, A., Di Carlo, S., Giannini, V., Vignati, A., Mazzetti, S., Politano, G., & Regge, D. (2014). A prostate cancer computer aided diagnosis software including malignancy tumor probabilistic classification. In BIOIMAGING 2014 - 1st International Conference on Bioimaging, Proceedings; Part of 7th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014 (pp. 49-54). SciTePress.