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Proceedings Paper

Segmentation of follicular regions on H&E slides using a matching filter and active contour model
Author(s): Kamel Belkacem-Boussaid; Jeffrey Prescott; Gerard Lozanski; Metin N. Gurcan
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Paper Abstract

Follicular Lymphoma (FL) accounts for 20-25% of non-Hodgkin lymphomas in the United States. The first step in follicular lymphoma grading is the identification of follicles. The goal of this paper is to develop a technique to segment follicular regions in H&E stained images. The method is based on a robust active contour model, which is initialized by a seed point selected inside the follicle manually by the user. The novel aspect of this method is the introduction of a matched filter for the flattening of background in the L channel of the Lab color space. The performance of the algorithm was tested by comparing it against the manual segmentations of trained readers using the Zijbendos similarity index. The mean accuracy of the final segmentation compared to the manual ground truth was 0.71 with a standard deviation of 0.12.

Paper Details

Date Published: 9 March 2010
PDF: 11 pages
Proc. SPIE 7624, Medical Imaging 2010: Computer-Aided Diagnosis, 762436 (9 March 2010); doi: 10.1117/12.844285
Show Author Affiliations
Kamel Belkacem-Boussaid, The Ohio State Univ. (United States)
Jeffrey Prescott, The Ohio State Univ. (United States)
Gerard Lozanski, The Ohio State Univ. (United States)
Metin N. Gurcan, The Ohio State Univ. (United States)


Published in SPIE Proceedings Vol. 7624:
Medical Imaging 2010: Computer-Aided Diagnosis
Nico Karssemeijer; Ronald M. Summers, Editor(s)

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