Decision support system for localizing prostate cancer based on multiparametric magnetic resonance imaging

Purpose: There is a growing need to localize prostate cancers on magnetic resonance imaging (MRI) to facilitate the use of image guided biopsy, focal therapy, and active surveillance follow up. Our goal was to develop a decision support system (DSS) for detecting and localizing peripheral zone prost...

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Veröffentlicht in:	Medical physics (Lancaster) 2012-07, Vol.39 (7), p.4093-4103
Hauptverfasser:	Shah, Vijay, Turkbey, Baris, Mani, Haresh, Pang, Yuxi, Pohida, Thomas, Merino, Maria J., Pinto, Peter A., Choyke, Peter L., Bernardo, Marcelino
Format:	Artikel
Sprache:	eng
Schlagworte:	Aged Algorithms Biomedical modeling biomedical MRI Cancer Clinical applications Cluster analysis Computer software Computer systems utilizing knowledge based models decision support system decision support systems Decision Support Systems, Clinical Digital computing or data processing equipment or methods, specially adapted for specific applications genetic algorithms Humans Image data processing or generation, in general Image Enhancement - methods Image Interpretation, Computer-Assisted - methods image segmentation In which a programme is changed according to experience gained by the computer itself during a complete run Learning machines Involving electronic [emr] or nuclear [nmr] magnetic resonance, e.g. magnetic resonance imaging learning (artificial intelligence) Magnetic resonance imaging Magnetic Resonance Imaging - methods Magnetic Resonance Physics Male medical computing medical image processing Medical image segmentation Medical imaging Medical magnetic resonance imaging Middle Aged multiparametric MRI multispectral MRI Pattern Recognition, Automated - methods probability prostate cancer localization Prostatic Neoplasms - diagnosis Radiologists Reproducibility of Results Segmentation Sensitivity and Specificity support vector machine support vector machines Tissues tumours
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