https://www.selleckchem.com/GSK-3.html
Deep learning is heavily being borrowed to solve problems in medical imaging applications and Siamese neural networks are the front-runners of motion tracking. In this paper, we propose to upgrade one such Siamese architecture-based neural network for robust and accurate landmark tracking in ultrasound images to improve the quality of image-guided radiation therapy. Although several researchers have improved the Siamese architecture-based networks with sophisticated detection modules and by incorporating transfer learning, the inherent assumption
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