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[HTML][HTML] Ultrasound signal processing: From models to deep learning
Medical ultrasound imaging relies heavily on high-quality signal processing to provide
reliable and interpretable image reconstructions. Conventionally, reconstruction algorithms …
reliable and interpretable image reconstructions. Conventionally, reconstruction algorithms …
An alternately optimized generative adversarial network with texture and content constraints for deformable registration of 3D ultrasound images
Objective. 3D ultrasound non-rigid registration is significant for intraoperative motion
compensation. Nevertheless, distorted textures in the registered image due to the poor …
compensation. Nevertheless, distorted textures in the registered image due to the poor …
Ultrasound Despeckling With GANs and Cross Modality Transfer Learning
Ultrasound images are corrupted by a type of signal-dependent noise, called speckle,
difficult to remove or attenuate with the classical denoising methods. On the contrary …
difficult to remove or attenuate with the classical denoising methods. On the contrary …