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Physics Driven Domain Specific Transporter Framework with Attention Mechanism for Ultrasound Imaging
[article]
2021
arXiv
pre-print
Most applications of deep learning techniques in medical imaging are supervised and require a large number of labeled data which is expensive and requires many hours of careful annotation by experts. In this paper, we propose an unsupervised, physics driven domain specific transporter framework with an attention mechanism to identify relevant key points with applications in ultrasound imaging. The proposed framework identifies key points that provide a concise geometric representation
arXiv:2109.06346v1
fatcat:n2w2ykhkbfhvfmv3gifqqttq2q