A methodology for peripheral nerve segmentation using a multiple annotators approach based on Centered Kernel Alignment
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URI: http://hdl.handle.net/11059/7255Compartir
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Gil González, JuliánEditor
Pereira : Universidad Tecnológica de PereiraIdentificador local
T621.367 G463;6310000118097 F4792Fecha
2016Palabras clave
Nervios periféricos
Ultrasonido en medicina
Procesamiento de datos - Técnicas digitales
Resumen
Peripheral Nerve Blocking (PNB) is a technique commonly used to perform regional
anesthesia and for pain management. The success of PNB procedures depends on the accurate
location of the target nerve. Recently, ultrasound imaging has been widely used to locate
nerve structures to carry out PNB, due to it enables a non-invasive visualization of the
target nerve and the anatomical structures around it. However, the ultrasound images are
affected by several artifacts making difficult the accurate delimitation of nerves. In the
literature, several approaches have been proposed to carry out automatic or semi-automatic
segmentation. Nevertheless, these methods are designed assuming that the gold standard
is available, and for this segmentation problem this gold standard can not be obtained
considering that it corresponds to subjective interpretation. In this sense, for building those
segmentation models, we do not have access to the actual label but an amount of subjective
annotations ...