When dealing with computed tomography volume data, the accurate segmentation of lung
nodules is of great importance to lung cancer analysis and diagnosis, being a vital part of …

Evaluating the quality of segmentations is an important process in image processing,
especially in the medical domain. Many evaluation metrics have been used in evaluating …

3D segmentation methods and their evaluation are important problems in computer
graphics. Many 3D segmentation techniques are available in the literature, how to efficiently …

Despite several decades of research into 3D segmentation techniques and a diversity of
methods and approaches proposed in the literature, comparing and evaluating the quality of …

Today's 3D imaging techniques offer significant benefits over conventional 2D imaging
techniques. The presence of natural depth information in the scene affords the observer an …

The evaluation of mesh segmentation has received a great deal of attention since 3D mesh
segmentation is an essential step in many mesh operations. For this reason, notable efforts …

In machine learning, data mining, and information retrieval, a feature space is an important
construct, in which the underlying objects are represented as feature vectors, providing the …