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Dual-channel active contour model for megakaryocytic cell segmentation in bone marrow trephine histology images
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Song, Tzu-Hsi, Sanchez Silva, Victor, Eldaly, Hesham and Rajpoot, Nasir M. (2017) Dual-channel active contour model for megakaryocytic cell segmentation in bone marrow trephine histology images. IEEE Transactions on Biomedical Engineering, 64 (12). pp. 2913-2923. doi:10.1109/TBME.2017.2690863
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WRAP-dual-channel-contour-model-bone-marrow-Rajpoot-2017.pdf - Accepted Version - Requires a PDF viewer. Download (1932Kb) | Preview |
Official URL: http://doi.org/10.1109/TBME.2017.2690863
Abstract
Assessment of morphological features of megakaryocytes (special kind of cells) in bone marrow trephine biopsies play an important role in the classification of different subtypes of Philadelphia-chromosome-negative myeloproliferative neoplasms (Ph-negative MPNs). In order to aid hematopathologists in the study of megakaryocytes, we propose a novel framework that can efficiently delineate the nuclei and cytoplasm of these cells in digitized images of bone marrow trephine biopsies. The framework first employs a supervised machine learning approach that utilizes color and texture features to delineate megakaryocytic nuclei. It then employs a novel dual-channel active contour model to delineate the boundary of megakaryocytic cytoplasm by using different deconvolved stain channels. Compared to other recent models, the proposed framework achieves accurate results for both megakaryocytic nuclear and cytoplasmic delineation.
| Item Type: | Journal Article | ||||||||
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| Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software Q Science > QP Physiology |
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| Divisions: | Faculty of Science > Computer Science | ||||||||
| Library of Congress Subject Headings (LCSH): | Megakaryocytes -- Differentiation -- Software, Bone marrow -- Histology, Biopsy | ||||||||
| Journal or Publication Title: | IEEE Transactions on Biomedical Engineering | ||||||||
| Publisher: | IEEE | ||||||||
| ISSN: | 0018-9294 | ||||||||
| Official Date: | December 2017 | ||||||||
| Dates: |
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| Volume: | 64 | ||||||||
| Number: | 12 | ||||||||
| Page Range: | pp. 2913-2923 | ||||||||
| DOI: | 10.1109/TBME.2017.2690863 | ||||||||
| Status: | Peer Reviewed | ||||||||
| Publication Status: | Published | ||||||||
| Access rights to Published version: | Restricted or Subscription Access |
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