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A Heuristic Framework for Image Filtering and Segmentation: Application to Blood Vessel Immunohistochemistry
Joint Authors
Chen, Chung-Ming
Tsou, Chi-Hsuan
Lu, Yi-Chien
Yuan, Ang
Chang, Yeun-Chung
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-12-27
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
The blood vessel density in a cancerous tissue sample may represent increased levels of tumor growth.
However, identifying blood vessels in the histological (tissue) image is difficult and time-consuming and depends heavily on the observer’s experience.
To overcome this drawback, computer-aided image analysis frameworks have been investigated in order to boost object identification in histological images.
We present a novel algorithm to automatically abstract the salient regions in blood vessel images.
Experimental results show that the proposed framework is capable of deriving vessel boundaries that are comparable to those demarcated manually, even for vessel regions with weak contrast between the object boundaries and background clutter.
American Psychological Association (APA)
Tsou, Chi-Hsuan& Lu, Yi-Chien& Yuan, Ang& Chang, Yeun-Chung& Chen, Chung-Ming. 2015. A Heuristic Framework for Image Filtering and Segmentation: Application to Blood Vessel Immunohistochemistry. Analytical Cellular Pathology،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1052361
Modern Language Association (MLA)
Tsou, Chi-Hsuan…[et al.]. A Heuristic Framework for Image Filtering and Segmentation: Application to Blood Vessel Immunohistochemistry. Analytical Cellular Pathology No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1052361
American Medical Association (AMA)
Tsou, Chi-Hsuan& Lu, Yi-Chien& Yuan, Ang& Chang, Yeun-Chung& Chen, Chung-Ming. A Heuristic Framework for Image Filtering and Segmentation: Application to Blood Vessel Immunohistochemistry. Analytical Cellular Pathology. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1052361
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1052361