Search results for "SUPPORT MEDICAL DECISION"

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IMAGE PROCESSING, SEGMENTATION AND MACHINE LEARNING MODELS TO CLASSIFY AND DELINEATE TUMOR VOLUMES TO SUPPORT MEDICAL DECISION

2020

Techniques for processing and analysing images and medical data have become the main’s translational applications and researches in clinical and pre-clinical environments. The advantages of these techniques are the improvement of diagnosis accuracy and the assessment of treatment response by means of quantitative biomarkers in an efficient way. In the era of the personalized medicine, an early and efficacy prediction of therapy response in patients is still a critical issue. In radiation therapy planning, Magnetic Resonance Imaging (MRI) provides high quality detailed images and excellent soft-tissue contrast, while Computerized Tomography (CT) images provides attenuation maps and very good…

SUPPORT MEDICAL DECISIONSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniIMAGE PROCESSINGSettore INF/01 - InformaticaTUMOR VOLUMESSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaSEGMENTATIONMACHINE LEARNINGACTIVE CONTOUR
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