research
∙
10/11/2022
Parameter estimation of the homodyned K distribution based on neural networks and trainable fractional-order moments
Homodyned K (HK) distribution has been widely used to describe the scatt...
share
research
∙
05/19/2022
Estimating the ultrasound attenuation coefficient using convolutional neural networks – a feasibility study
Attenuation coefficient (AC) is a fundamental measure of tissue acoustic...
research
∙
01/27/2020
Breast mass segmentation based on ultrasonic entropy maps and attention gated U-Net
We propose a novel deep learning based approach to breast mass segmentat...
research
∙
04/02/2018