Zhao, F and Xie, X (2013) An overview on interactive medical image segmentation. The Annals of the BMVA, 2013 (7).

Full text not available from this repository. Please see publisher or open access link below:

Abstract

Image segmentation is often described as partitioning an image into a finite number of semantically non-overlapping regions. In medical applications, it is a fundamental process in most systems that support medical diagnosis, surgical planning and treatments. Generally, this process is done manually by clinicians, which may be time-consuming and tedious. To alleviate the problem, a number of interactive segmentation methods have been proposed in the literature. These techniques take advantage of automatic segmentation and allow users to intervene the segmentation process by incorporating prior-knowledge, validating results and correcting errors, thus potentially lead to accurate segmentation results. In this paper, we present an overview on interactive segmentation techniques for medical images

Item Type:	Article
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software
Divisions:	Computer Science & Mathematics
Publisher:	BMVA
Date Deposited:	25 Sep 2017 13:23
Last Modified:	03 Sep 2021 23:33
URI:	https://researchonline.ljmu.ac.uk/id/eprint/7198

View Item