A Heuristic Framework for Image Filtering and Segmentation: Application to Blood Vessel Immunohistochemistry
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 imag...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2015-01-01
|
| Series: | Analytical Cellular Pathology |
| Online Access: | http://dx.doi.org/10.1155/2015/589158 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849411627031461888 |
|---|---|
| author | Chi-Hsuan Tsou Yi-Chien Lu Ang Yuan Yeun-Chung Chang Chung-Ming Chen |
| author_facet | Chi-Hsuan Tsou Yi-Chien Lu Ang Yuan Yeun-Chung Chang Chung-Ming Chen |
| author_sort | Chi-Hsuan Tsou |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-5b0cc37d8103462086b7f0cccfd6103a |
| institution | Kabale University |
| issn | 2210-7177 2210-7185 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Analytical Cellular Pathology |
| spelling | doaj-art-5b0cc37d8103462086b7f0cccfd6103a2025-08-20T03:34:43ZengWileyAnalytical Cellular Pathology2210-71772210-71852015-01-01201510.1155/2015/589158589158A Heuristic Framework for Image Filtering and Segmentation: Application to Blood Vessel ImmunohistochemistryChi-Hsuan Tsou0Yi-Chien Lu1Ang Yuan2Yeun-Chung Chang3Chung-Ming Chen4Institute of Biomedical Engineering, College of Medicine and College of Engineering, National Taiwan University, No. 1, Section 1, Jen-Ai Road, Taipei 100, TaiwanDepartment of Radiology, National Taiwan University College of Medicine and Department of Medical Imaging, National Taiwan University Hospital, No. 7, Chung-Shan South Road, Taipei 100, TaiwanDepartment of Internal Medicine, National Taiwan University College of Medicine, No. 7, Chung-Shan South Road, Taipei 100, TaiwanDepartment of Radiology, National Taiwan University College of Medicine and Department of Medical Imaging, National Taiwan University Hospital, No. 7, Chung-Shan South Road, Taipei 100, TaiwanInstitute of Biomedical Engineering, College of Medicine and College of Engineering, National Taiwan University, No. 1, Section 1, Jen-Ai Road, Taipei 100, TaiwanThe 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.http://dx.doi.org/10.1155/2015/589158 |
| spellingShingle | Chi-Hsuan Tsou Yi-Chien Lu Ang Yuan Yeun-Chung Chang Chung-Ming Chen A Heuristic Framework for Image Filtering and Segmentation: Application to Blood Vessel Immunohistochemistry Analytical Cellular Pathology |
| title | A Heuristic Framework for Image Filtering and Segmentation: Application to Blood Vessel Immunohistochemistry |
| title_full | A Heuristic Framework for Image Filtering and Segmentation: Application to Blood Vessel Immunohistochemistry |
| title_fullStr | A Heuristic Framework for Image Filtering and Segmentation: Application to Blood Vessel Immunohistochemistry |
| title_full_unstemmed | A Heuristic Framework for Image Filtering and Segmentation: Application to Blood Vessel Immunohistochemistry |
| title_short | A Heuristic Framework for Image Filtering and Segmentation: Application to Blood Vessel Immunohistochemistry |
| title_sort | heuristic framework for image filtering and segmentation application to blood vessel immunohistochemistry |
| url | http://dx.doi.org/10.1155/2015/589158 |
| work_keys_str_mv | AT chihsuantsou aheuristicframeworkforimagefilteringandsegmentationapplicationtobloodvesselimmunohistochemistry AT yichienlu aheuristicframeworkforimagefilteringandsegmentationapplicationtobloodvesselimmunohistochemistry AT angyuan aheuristicframeworkforimagefilteringandsegmentationapplicationtobloodvesselimmunohistochemistry AT yeunchungchang aheuristicframeworkforimagefilteringandsegmentationapplicationtobloodvesselimmunohistochemistry AT chungmingchen aheuristicframeworkforimagefilteringandsegmentationapplicationtobloodvesselimmunohistochemistry AT chihsuantsou heuristicframeworkforimagefilteringandsegmentationapplicationtobloodvesselimmunohistochemistry AT yichienlu heuristicframeworkforimagefilteringandsegmentationapplicationtobloodvesselimmunohistochemistry AT angyuan heuristicframeworkforimagefilteringandsegmentationapplicationtobloodvesselimmunohistochemistry AT yeunchungchang heuristicframeworkforimagefilteringandsegmentationapplicationtobloodvesselimmunohistochemistry AT chungmingchen heuristicframeworkforimagefilteringandsegmentationapplicationtobloodvesselimmunohistochemistry |