Blood vessel segmentation plays a fundamental role in many computer-aided diagnosis
(CAD) systems, such as coronary artery stenosis quantification, cerebral aneurysm …

Renal artery segmentation remained a big challenging due to its low contrast. In this paper,
we present a novel graph-cut method using tensor-based distance metric for blood vessel …

Optical-resolution photoacoustic microcopy (OR-PAM) is a non-invasive imaging technology
that can achieve high-resolution vascular imaging and has been widely used in the field of …

Fault segmentation in seismic samples is a major task of structural interpretation, which is
manually performed by experts. Recent deep learning based methods consider seismic …

The lightweight semantic segmentation network makes use of various excellent residual
designs, and these residual modules not only improve the efficiency of semantic …

U-Net segmentation network is an effective medical image segmentation model. U-Net, as a
fully convolutional network, is vulnerable to the limitation that convolution cannot extract …

This paper presents the OBIA method based on structure tensor to identify complex coastal
landforms. That is, develop Hessian matrix by Gabor filtering and calculate multiscale …