Abstract The Global Cancer Statistics 2020 reported breast cancer (BC) as the most
common diagnosis of cancer type. Therefore, early detection of such type of cancer would …

This paper surveys mesh segmentation techniques and algorithms, with a focus on part‐
based segmentation, that is, segmentation that divides a mesh (featuring a 3D object) into …

This paper presents a new deep learning architecture called PointGrid that is designed for
3D model recognition from unorganized point clouds. The new architecture embeds the …

Breast tumor segmentation and recognition from mammograms play a key role in healthcare
and treatment services. As different tumors in mammography have dissimilar densities …

Among different 3D data representations, point cloud stands out for its efficiency and
flexibility. Hence, many researchers have been involved in the point cloud analysis recently …

This paper introduces a multi-view recurrent neural network (MV-RNN) approach for 3D
mesh segmentation. Our architecture combines the convolutional neural networks (CNN) …

Abstract 3D shape processing is a fundamental computer application. Specifically, 3D mesh
could provide a natural and detailed way for object representation. However, due to its non …

The use of Static Analysis Tools (SATs) is mandatory when developing secure software and
searching for vulnerabilities in legacy software. However, the performance of the various …

In the shape analysis community, decomposing a 3D shape into meaningful parts has
become a topic of interest. 3D model segmentation is largely used in tasks such as shape …

Mesh models have been widely employed in current CAD/CAM systems, where the
workpiece is considered as made up of a number of features limited by natural boundaries …