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.

S. Maggio, L. De Marchi, M. Alessandrini, N. Speciale (2008). Computer Aided Detection of Prostate Cancer Based on GDA and Predictive Deconvolution. BEIJING : IEEE UFFC Society [10.1109/ULTSYM.2008.0008].

Computer Aided Detection of Prostate Cancer Based on GDA and Predictive Deconvolution

MAGGIO, SIMONA;DE MARCHI, LUCA;ALESSANDRINI, MARTINO;SPECIALE, NICOLO'ATTILIO
2008

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.
2008
Proceedings of 2008 IEEE International Ultrasonics Symposium (IUS08)
28
31
S. Maggio, L. De Marchi, M. Alessandrini, N. Speciale (2008). Computer Aided Detection of Prostate Cancer Based on GDA and Predictive Deconvolution. BEIJING : IEEE UFFC Society [10.1109/ULTSYM.2008.0008].
S. Maggio; L. De Marchi; M. Alessandrini; N. Speciale
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/73116
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