Deep belief network and closed polygonal line for lung segmentation in chest radiographs

T Peng, TC Xu, Y Wang, F Li - The Computer Journal, 2022 - academic.oup.com
Due to the varying appearance in the upper clavicle bone region, sharp corner at the
costophrenic angle, the presence of strong edges at the rib cage and clavicle and the lack of …

Segmentation of lung in chest radiographs using hull and closed polygonal line method

T Peng, Y Wang, TC Xu, X Chen - IEEE Access, 2019 - ieeexplore.ieee.org
Accurate lung segmentation in chest radiographs is a challenging problem due to the
presence of strong edges at the rib cage and clavicle, the varying appearance in the upper …

Plane segmentation based on the optimal-vector-field in LiDAR point clouds

S Xu, R Wang, H Wang, R Yang - IEEE transactions on pattern …, 2020 - ieeexplore.ieee.org
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 …

Convex shape prior for multi-object segmentation using a single level set function

S Luo, XC Tai, L Huo, Y Wang… - Proceedings of the …, 2019 - openaccess.thecvf.com
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 …

Amat: Medial axis transform for natural images

S Tsogkas, S Dickinson - Proceedings of the IEEE …, 2017 - openaccess.thecvf.com
Abstract We introduce Appearance-MAT (AMAT), a generalization of the medial axis
transform for natural images, that is framed as a weighted geometric set cover problem. We …

Learning vector quantized shape code for amodal blastomere instance segmentation

WD Jang, D Wei, X Zhang, B Leahy… - 2023 IEEE 20th …, 2023 - ieeexplore.ieee.org
Blastomere instance segmentation is important for analyzing embryos' abnormality. To
measure the accurate shapes and sizes of blastomeres, their amodal segmentation is …

An elastica geodesic approach with convexity shape prior

D Chen, LD Cohen, JM Mirebeau… - Proceedings of the …, 2021 - openaccess.thecvf.com
The minimal geodesic models based on the Eikonal equations are capable of finding
suitable solutions in various image segmentation scenarios. Existing geodesic-based …

3D interactive segmentation with semi-implicit representation and active learning

J Deng, X Xie - IEEE Transactions on Image Processing, 2021 - ieeexplore.ieee.org
Segmenting complex 3D geometry is a challenging task due to rich structural details and
complex appearance variations of target object. Shape representation and foreground …

Geodesic models with convexity shape prior

D Chen, JM Mirebeau, M Shu, X Tai… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The minimal geodesic models established upon the eikonal equation framework are
capable of finding suitable solutions in various image segmentation scenarios. Existing …

Graph-based image segmentation with shape priors and band constraints

CM Braz, LFD Santos, PAV Miranda - International Conference on Discrete …, 2022 - Springer
In this work, we describe an efficient algorithm, with proof of correctness, for finding an
optimal binary segmentation of an image such that the indicated object satisfies a novel high …