7 citations · 9 across the 3 of their papers we have counts for
5 papers
Convex Shape Prior for Deep Neural Convolution Network based Eye Fundus Images Segmentation
Jun Liu, Xue-Cheng Tai, Shousheng Luo
Convex Shapes (CS) are common priors for optic disc and cup segmentation in eye fundus images. It is important to design proper techniques to represent convex shapes. So far, it is…
A level set representation method for N-dimensional convex shape and applications
Lingfeng li, Shousheng Luo, Xue-Cheng Tai +1
In this work, we present a new efficient method for convex shape representation, which is regardless of the dimension of the concerned objects, using level-set approaches. Convexit…
Convex Shape Representation with Binary Labels for Image Segmentation: Models and Fast Algorithms
Shousheng Luo, Xue-Cheng Tai, Yang Wang
We present a novel and effective binary representation for convex shapes. We show the equivalence between the shape convexity and some properties of the associated indicator functi…
Data-driven Method for 3D Axis-symmetric Object Reconstruction from Single Cone-beam Projection Data
Shousheng Luo, Ruyue Meng, Suhua Wei +3
In this paper we consider 3D axis-symmetric (AS) object reconstruction from single cone-beam x-ray projection data. Traditional x-ray CT fails to capture fleeting state of material…
Convex hull algorithms based on some variational models
Lingfeng Li, Shousheng Luo, Xue-Cheng Tai +1
Seeking the convex hull of an object is a very fundamental problem arising from various tasks. In this work, we propose two variational convex hull models using level set represent…