A novel polar space random field model for the detection of glandular structures

Fu, Hao and Qiu, Guoping and Shu, Jie and Ilyas, Mohammad (2014) A novel polar space random field model for the detection of glandular structures. IEEE Transactions on Medical Imaging, 33 (3). pp. 764-776. ISSN 1558-254X

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Abstract

In this paper, we propose a novel method to detect glandular structures in microscopic images of human tissue. We first convert the image from Cartesian space to polar space and then introduce a novel random field model to locate the possible boundary of a gland. Next, we develop a visual feature-based support vector regressor to verify if the detected contour corresponds to a true gland. And finally, we combine the outputs of the random field and the regressor to form the GlandVision algorithm for the detection of glandular structures. Our approach can not only detect the existence of the gland, but also can accurately locate it with pixel accuracy. In the experiments, we treat the task of detecting glandular structures as object (gland) detection and segmentation problems respectively. The results indicate that our new technique outperforms state-of-the-art computer vision algorithms in respective fields.

Item Type: Article
Additional Information: ©2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Keywords: Gland; polar space; random field
Schools/Departments: University of Nottingham, UK > Faculty of Science > School of Computer Science
Identification Number: 10.1109/tmi.2013.2296572
Depositing User: LIN, Zhiren
Date Deposited: 25 Oct 2017 10:56
Last Modified: 25 Oct 2017 11:04
URI: http://eprints.nottingham.ac.uk/id/eprint/47528

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