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- W2154573715 abstract "The aim of this work is to provide an informative evaluation tool to assist clinicians diagnose focal liver lesions (FLLs) in Contrast-Enhanced Ultrasound (CEUS). A methodology to track and characterise a single FLL is presented. We propose a histogram-based motion segmentation approach, in combination with Lowe’s SIFT keypoints, to track the locations of the FLL’s enhancement region and the healthy liver throughout a CEUS video sequence, whilst intensity appearance is dramatically changed due to the effect of contrast agents. Then, Generalised Procrustes Analysis estimates the FLL’s mean shape in order to characterise it as benign, or malignant. Finally, the precision of the automatically segmented areas of the FLL and the parenchyma are quantitatively analysed, to evaluate the level of confidence of our algorithm’s decision on the characterisation of the FLLs included in our clinical data." @default.
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- W2154573715 date "2012-01-01" @default.
- W2154573715 modified "2023-09-24" @default.
- W2154573715 title "Histogram-based Motion Segmentation and Characterisation of Focal Liver Lesions in CEUS" @default.
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