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Chapter and Conference Paper
Deep Learning Approaches for Gynaecological Ultrasound Image Segmentation: A Radio-Frequency vs B-mode Comparison
Ovarian cancer is one of the pathologies with t...
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Chapter and Conference Paper
InVesalius: An Interactive Rendering Framework for Health Care Support
This work presents InVesalius, an open-source software for analysis and visualization of medical images. The tool has supported several surgeries in hospitals and has been downloaded from more than a hundred c...
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Chapter
Segmentation of Carotid Ultrasound Images
This chapter surveys methodologies for the segmentation of carotid ultrasound images and describes a method for the semiautomatic detection of the lumen–intima and the media–adventitia interfaces of the near a...
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Chapter and Conference Paper
Joint Detection of the Carotid Boundaries in Longitudinal B-Mode Images
This paper proposes a new approach for the automatic segmentation of the carotid adventitia in longitudinal B-scans, with and without the presence of plaque. The top and bottom adventitia contours are jointly ...
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Chapter and Conference Paper
Segmentation of Ultrasonic Images of the Carotid
A new algorithm for an effective and automatic segmentation of the carotid wall in ultrasonic images is proposed. It combines the speed of thresholding algorithms with the accuracy, flexibility and robustness ...