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EnglishA Computer-Aided Detection (CAD) scheme to support prostate cancer diagnosis based on ultrasound images is presented. The approach described in this work employs a multifeature classification model. To indentify features highly correlated to the pathologic state of the tissue we use a Feature Selection algorithm based on mutual information. System-dependent effects are removed through predictive deconvolution and this operation results in increasing quality of images and discriminating power of features. A comparison of the classification model applied before and after deconvolution shows a gain in accuracy and area under the ROC curve. The use of deconvolution as preprocessing step in CAD schemes can improve prostate cancer detection.
| Titolo: | Computer Aided Detection of Prostate Cancer Based on GDA and Predictive Deconvolution | |
| Autore/i: | MAGGIO, SIMONA; DE MARCHI, LUCA; ALESSANDRINI, MARTINO; SPECIALE, NICOLO'ATTILIO | |
| Autore/i Unibo: | ||
| Anno: | 2008 | |
| Titolo del libro: | Proceedings of 2008 IEEE International Ultrasonics Symposium (IUS08) | |
| Pagina iniziale: | 28 | |
| Pagina finale: | 31 | |
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1109/ULTSYM.2008.0008 | |
| Abstract: | A Computer-Aided Detection (CAD) scheme to support prostate cancer diagnosis based on ultrasound images is presented. The approach described in this work employs a multifeature classification model. To indentify features highly correlated to the pathologic state of the tissue we use a Feature Selection algorithm based on mutual information. System-dependent effects are removed through predictive deconvolution and this operation results in increasing quality of images and discriminating power of features. A comparison of the classification model applied before and after deconvolution shows a gain in accuracy and area under the ROC curve. The use of deconvolution as preprocessing step in CAD schemes can improve prostate cancer detection. | |
| Data prodotto definitivo in UGOV: | 25-feb-2009 | |
| Appare nelle tipologie: | 4.01 Contributo in Atti di convegno |
File in questo prodotto:
http://hdl.handle.net/11585/73116
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