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PRANet: Point Cloud Registration with an Artificial Agent
Recently, a plethora of deep learning methods were formulated that aim to tackle this problem.
Deep Adversarial Context-Aware Landmark Detection for Ultrasound Imaging
We have trained this network using ~4000 labeled trans-rectal ultrasound images and tested on an independent set of images with ground truth landmark locations.
Dilated FCN for Multi-Agent 2D/3D Medical Image Registration
Second, to handle various artifacts in 2D X-ray images, multiple local agents are employed efficiently via FCN-based structures, and an auto attention mechanism is proposed to favor the proposals from regions with more reliable visual cues.
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