Publication Type |
pre-print |
School or College |
College of Engineering |
Department |
Electrical & Computer Engineering |
Creator |
Tasdizen, Tolga |
Other Author |
Ramesh, Nisha; Salama, Mohamed E. |
Title |
Segmentation of haematopoeitic cells in bone marrow using circle detection and splitting techniques |
Date |
2012-01-01 |
Description |
Bone marrow evaluation is indicated when peripheral blood abnormalities are not explained by clinical, physical, or laboratory findings. In this paper, we propose a novel method for segmentation of haematopoietic cells in the bone marrow from scanned slide images. Segmentation of clumped cells is a challenging problem for this application. We first use color information and morphology to eliminate red blood cells and the background. Clumped haematopoietic cells are then segmented using circle detection and a splitting algorithm based on the detected circle centers. The Hough Transform is used for circle detection and to find the number and positions of circle centers in each region. The splitting algorithm is based on detecting the maximum curvature points, and partitioning them based on information obtained from the centers of the circles in each region. The performance of the segmentation algorithm for haematopoietic cells is evaluated by comparing our proposed method with a hematologist's visual segmentation in a set of 3748 cells. |
Type |
Text |
Publisher |
Institute of Electrical and Electronics Engineers (IEEE) |
First Page |
206 |
Last Page |
209 |
Dissertation Institution |
University of Utah |
Language |
eng |
Bibliographic Citation |
Ramesh, N., Salama, M. E., &Tasdizen, T. (2012). Segmentation of haematopoeitic cells in bone marrow using circle detection and splitting techniques. Proceedings - International Symposium on Biomedical Imaging, no. 6235520, 206-9. |
Rights Management |
(c)2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. |
Format Medium |
application/pdf |
Format Extent |
1,188,672 bytes |
Identifier |
uspace,17709 |
ARK |
ark:/87278/s6zk61d4 |
Setname |
ir_uspace |
ID |
708074 |
Reference URL |
https://collections.lib.utah.edu/ark:/87278/s6zk61d4 |