Residual Dense Swin Transformer for Continuous Depth-Independent Ultrasound Imaging

arXiv:2403.16384v1 Announce Type: cross
Abstract: Ultrasound imaging is crucial for evaluating organ morphology and function, yet depth adjustment can degrade image quality and field-of-view, presenting a depth-dependent dilemma. Traditional interpolation-based zoom-in techniques often sacrifice detail and introduce artifacts. Motivated by the potential of arbitrary-scale super-resolution to naturally address these inherent challenges, we present the Residual Dense Swin Transformer Network (RDSTN), designed to capture the non-local characteristics and long-range dependencies intrinsic to ultrasound images. It comprises a linear embedding module for …

abstract arxiv challenges continuous cs.cv eess.iv function image imaging independent presenting quality residual resolution scale swin swin transformer transformer type view zoom