White blood cell segmentation and classification in microscopic bone marrow images

An automatic segmentation technique for microscopic bone marrow white blood cell images is proposed in this paper. The segmentation technique segments each cell image into three regions, i.e., nucleus, cytoplasm, and background. We evaluate the segmentation performance of the proposed technique by c...

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Main Author: Theera-Umpon N.
Other Authors: Wang L.Jin Y.
Format: Conference or Workshop Item
Language:English
Published: 2014
Online Access:http://www.scopus.com/inward/record.url?eid=2-s2.0-26944437877&partnerID=40&md5=4d4545e26a4e0f8b320d5c9089256368
http://cmuir.cmu.ac.th/handle/6653943832/1274
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Institution: Chiang Mai University
Language: English
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spelling th-cmuir.6653943832-12742014-08-29T09:29:03Z White blood cell segmentation and classification in microscopic bone marrow images Theera-Umpon N. Wang L.Jin Y. An automatic segmentation technique for microscopic bone marrow white blood cell images is proposed in this paper. The segmentation technique segments each cell image into three regions, i.e., nucleus, cytoplasm, and background. We evaluate the segmentation performance of the proposed technique by comparing its results with the cell images manually segmented by an expert. The probability of error in image segmentation is utilized as an evaluation measure in the comparison. From the experiments, we achieve good segmentation performances in the entire cell and nucleus segmentation. The six-class cell classification problem is also investigated by using the automatic segmented images. We extract four features from the segmented images including the cell area, the peak location of pattern spectrum, the first and second granulometric moments of nucleus. Even though the boundaries between cell classes are not well-defined and there are classification variations among experts, we achieve a promising classification performance using neural networks with five-fold cross validation. © Springer-Verlag Berlin Heidelberg 2005. 2014-08-29T09:29:03Z 2014-08-29T09:29:03Z 2005 Conference Paper 03029743 65829 LNAIE http://www.scopus.com/inward/record.url?eid=2-s2.0-26944437877&partnerID=40&md5=4d4545e26a4e0f8b320d5c9089256368 http://cmuir.cmu.ac.th/handle/6653943832/1274 English
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
language English
description An automatic segmentation technique for microscopic bone marrow white blood cell images is proposed in this paper. The segmentation technique segments each cell image into three regions, i.e., nucleus, cytoplasm, and background. We evaluate the segmentation performance of the proposed technique by comparing its results with the cell images manually segmented by an expert. The probability of error in image segmentation is utilized as an evaluation measure in the comparison. From the experiments, we achieve good segmentation performances in the entire cell and nucleus segmentation. The six-class cell classification problem is also investigated by using the automatic segmented images. We extract four features from the segmented images including the cell area, the peak location of pattern spectrum, the first and second granulometric moments of nucleus. Even though the boundaries between cell classes are not well-defined and there are classification variations among experts, we achieve a promising classification performance using neural networks with five-fold cross validation. © Springer-Verlag Berlin Heidelberg 2005.
author2 Wang L.Jin Y.
author_facet Wang L.Jin Y.
Theera-Umpon N.
format Conference or Workshop Item
author Theera-Umpon N.
spellingShingle Theera-Umpon N.
White blood cell segmentation and classification in microscopic bone marrow images
author_sort Theera-Umpon N.
title White blood cell segmentation and classification in microscopic bone marrow images
title_short White blood cell segmentation and classification in microscopic bone marrow images
title_full White blood cell segmentation and classification in microscopic bone marrow images
title_fullStr White blood cell segmentation and classification in microscopic bone marrow images
title_full_unstemmed White blood cell segmentation and classification in microscopic bone marrow images
title_sort white blood cell segmentation and classification in microscopic bone marrow images
publishDate 2014
url http://www.scopus.com/inward/record.url?eid=2-s2.0-26944437877&partnerID=40&md5=4d4545e26a4e0f8b320d5c9089256368
http://cmuir.cmu.ac.th/handle/6653943832/1274
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