In this study, we present a method to enhance the quality of single plane wave (PW) acquisitions using a CNN trained on in vivo images.
2023/11/23 · We present a method to enhance the image quality of single unfocused acquisitions by relying on a CNN.
含まれない: (2/6). | 必須にする:(2/6).
2024/02/06 · This dataset contains a collection of ultrafast ultrasound acquisitions from nine volunteers and the CIRS 054G phantom.
2024/02/02 · This dataset contains a collection of ultrafast ultrasound acquisitions from nine volunteers and the CIRS 054G phantom.
A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning. November 2023 · Journal of Imaging. Roser Viñals ...
2024/02/06 · This dataset contains a collection of ultrafast ultrasound acquisitions from nine volunteers and the CIRS 054G phantom.
Roser Viñals , Jean-Philippe Thiran : A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning: Dataset (2/6).
Convolutional neural networks (CNNs) have demonstrated great potential to enhance image quality without compromising the frame rate. However, ...
含まれない: (2/6). | 必須にする:(2/6).
This dataset contains a collection of ultrafast ultrasound acquisitions from nine volunteers and the CIRS 054G phantom. For a comprehensive understanding of the ...
2024-01-30, A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning: Dataset (2/6) published | dataset | 1.0.0 | CC-BY