This could be relevant for the segmentation evaluation, as investigated by Berthon et al. [44] for PET image segmentation.
We also considered efficiency measurements for the segmentation evaluation, where efficiency pertains to the practical viability of the method which is determined by the amount of time required for the computations to provide the user the help needed during segmentation.
Through the process of segmentation, evaluation, and recombination, the genetic algorithm optimizes functional template design efficiently.
We also developed a video-based non-cooperative iris recognition system by integrating video-based non-cooperative segmentation, segmentation evaluation, and score fusion units.
In the past, there have proposed many segmentation evaluation methods, however, segmentation evaluation is still an open topic [ 25, 26].
The CST is for automatic segmentation, and MOSES is for segmentation evaluation.
In the section "Evaluation of segmentation," we provide a literature review about segmentation evaluation.
This segmentation evaluation, which is part of an open set of evaluations organized by the RTTH1 every 2 years, compares systems and approaches from different research institutions in an independent way.
These efforts have resulted in three Web-accessible tools which address three important and interrelated sub-topics in medical image segmentation, respectively: the Boundary Marking Tool (BMT), Cervigram Segmentation Tool (CST), and Multi-Observer Segmentation Evaluation System (MOSES).
To quantitatively evaluate the segmentation results, we used Dice coefficient D, which has been widely used for segmentation evaluation.
