Purpose Precise segmentation of bladder walls and tumor regions is an essential step
toward noninvasive identification of tumor stage and grade, which is critical for treatment …

In this paper, we propose an image segmentation model that incorporates convexity shape
priori using level set representations. In the past decade, several discrete and continuous …

One key challenge in the point cloud segmentation is the detection and split of overlapping
regions between different planes. The existing methods depend on the similarity and the …

Many objects in real world have convex shapes. It is a difficult task to have representations
for convex shapes with good and fast numerical solutions. This paper proposes a method to …

Minimal paths are regarded as a powerful and efficient tool for boundary detection and
image segmentation due to its global optimality and the well-established numerical solutions …

In this paper, we presented a new parameter-free thresholding method for image
segmentation. In separating an image into two classes, the method employs an objective …

Blastomere instance segmentation is important for analyzing embryos' abnormality. To
measure the accurate shapes and sizes of blastomeres, their amodal segmentation is …

Image segmentation aims to extract the target objects or to identify the corresponding
boundaries. For corrupted images due to occlusions, obscurities or noises, to get an …

The minimal geodesic models based on the Eikonal equations are capable of finding
suitable solutions in various image segmentation scenarios. Existing geodesic-based …

Image segmentation is a key component of image analysis, which refers to the process of
partitioning the image into multiple segments. Graph cut is widely used in image …