Feb 2, 2023 · Huang et al used an attention-aware fully convolutional neural network to identify a suspect region and employed a convolutional long short-term ...

Sep 14, 2022 · Abstract:This study proposed a deep learning-based tracking method for ultrasound (US) image-guided radiation therapy. The proposed cascade ...

Feb 2, 2023 · The proposed deep model for landmark tracking is composed of three networks: an attention network, a mask R-CNN net- work and a LSTM network.

This study proposed a deep learning-based tracking method for ultrasound (US) image-guided radiation therapy. The proposed cascade deep learning model is ...

Feb 2, 2023 · Landmark tracking in liver US images using cascade convolutional neural networks with long short-term memory. · Author information · Abstract ...

Feb 2, 2023 · This study proposed a deep learning-based tracking method for the US image-guided radiation therapy. The proposed cascade deep learning model is ...

Jun 29, 2024 · ... Landmark tracking in liver US images using cascade convolutional neural networks with long short-term memory. Measurement Science and ...

In this paper, we propose a long-short diffeomorphic motion network, which is a multi-task framework with a learnable deformation prior to search for the ...

Huang et al used an attention-aware fully convolutional neural network to identify a suspect region and employed a convolutional long short-term memory (LSTM) ...