Abstract:<p><strong>Background</strong></p>
<p>Accurate needle placement is crucial during minimally invasive procedures such as biopsies, regional anesthesia, and fluid aspiration. 2D Ultrasound is widely used for needle guidance during such procedures, however, it has a limited field-of-view and poor needle visibility for steep insertion angles. </p>
<p><strong>Methods</strong></p>
<p>In this work, we propose a novel machine learning (ML)-based method … Show more
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