Sophie Paquerault

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Previous studies have found that mammographic breast density is highly correlated with breast cancer risk. Therefore, mammographic breast density may be considered as an important risk factor in studies of breast cancer treatments. In this paper, we evaluated the accuracy of using mammograms for estimating breast density by analyzing the correlation between(More)
Recent clinical studies have proved that computer-aided diagnosis (CAD) systems are helpful for improving lesion detection by radiologists in mammography. However, these systems would be more useful if the false-positive rate is reduced. Current CAD systems generally detect and characterize suspicious abnormal structures in individual mammographic images.(More)
PURPOSE To evaluate the performance of a computer-aided diagnosis (CAD) mass-detection algorithm in marking preoperative masses. MATERIALS AND METHODS Digitized mammograms were processed with an adaptive enhancement filter followed by a local border refinement stage. Features were then extracted from each detected structure and used to identify potential(More)
Precise segmentation of microcalcifications is essential in the development of accurate mammographic computer-aided diagnosis (CAD) schemes. We have designed a radial gradient-based segmentation method for microcalcifications, and compared it to both the region-growing segmentation method currently used in our CAD scheme and to the watershed segmentation(More)
Computer-aided detection and diagnosis (CAD) systems are increasingly being used as an aid by clinicians for detection and interpretation of diseases. Computer-aided detection systems mark regions of an image that may reveal specific abnormalities and are used to alert clinicians to these regions during image interpretation. Computer-aided diagnosis systems(More)
Comparison of performance accuracy between different computer-aided diagnosis (CAD) devices is a challenging task. Anatomical structure of the patient and imaging geometry introduce many possible correlations among scores produced by a CAD. Numerous analysis methods have been designed to account for the correlations among CAD scores or the variable number(More)
RATIONALE AND OBJECTIVES The aim of this study was to investigate the effects of relative sensitivity (reader without computer-aided detection [CAD] vs stand-alone CAD) and reading mode on reader performance when using CAD software. MATERIALS AND METHODS Two sets of 100 images (low-contrast and high-contrast sets) were created by adding low-contrast or(More)
Like all other Synthetic Aperture Radars (SAR), Radarsat is very sensitive to the terrain shape. Fine details of the ground clearly appear in its image products which enable us to map regions generally not visible by optical systems. Moreover, in the case of tropical and equatorial regions, precise maps are often not available, since the elevation data is(More)