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 language | English |
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Title of host publication | BIOIMAGING 2014 - 1st International Conference on Bioimaging, Proceedings; Part of 7th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014 |
Publisher | SciTePress |
Pages | 49-54 |
Number of pages | 6 |
ISBN (Print) | 9789897580147 |
Publication status | Published - 2014 |
Event | 1st 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
Other | 1st International Conference on Bioimaging, BIOIMAGING 2014 - Part of 7th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014 |
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Country/Territory | France |
City | Angers, Loire Valley |
Period | 3/3/14 → 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