Despeckling and enhancement of ultrasound images using non-local variational framework [0.03%]
基于非局部变分框架的超声图像去斑点及增强算法
I P Febin,P Jidesh
I P Febin
Speckles are introduced in the ultrasound data due to constructive and destructive interference of the probing signals that are used for capturing the characteristics of the tissue being imaged. There are a plethora of models discussed in t...
Contour-aware semantic segmentation network with spatial attention mechanism for medical image [0.03%]
基于空间注意机制的医疗图像轮廓感知语义分割网络
Zhiming Cheng,Aiping Qu,Xiaofeng He
Zhiming Cheng
Medical image segmentation is a critical and important step for developing computer-aided system in clinical situations. It remains a complicated and challenging task due to the large variety of imaging modalities and different cases. Recen...
Limited-view binary tomography reconstruction assisted by shape centroid [0.03%]
借助形状质心的二值层析重建辅助受限视角下的图像重建
Tibor Lukić,Péter Balázs
Tibor Lukić
In this paper, the binary tomographic reconstruction problem for very limited projection data availability is considered. Being this inverse problem highly ill-posed, we propose a new reconstruction model that uses a shape centroid-based re...