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Abstract
Karyotyping requires chromosome instances to be segmented and classified from the metaphase images. One of the difficulties in chromosome segmentation is that the chromosomes are randomly positioned in the image, and there is a great chance for chromosomes to be touched or overlap with others. It is always much easier for operators and automatic programs to tackle images without overlapping chromosomes than ones with largely overlapped chromosomes. In order to reduce the processing difficulty, adding a smart image selection procedure ahead of segmentation is practical and necessary. In this paper, we introduce the Smart Karyotyping Image Selection (SKIS) based on Commonsense Knowledge Reasoning. The initial experiment demonstrates that the proposed approach can select the expected images based on reasoning and benefit following karyotyping processes.
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Authors (5)
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Yufeng Xu
- Chengdu University, China
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Lei Shi
- Chengdu University, China
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Juan Wang
- Chengdu University, China
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Haoxi Zhang
- Chengdu University, China
Cite as
Full text
- Publication version
- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.1080/01969722.2022.2162738
- License
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Details
- Category:
- Articles
- Type:
- artykuły w czasopismach
- Published in:
-
CYBERNETICS AND SYSTEMS
no. 55,
pages 668 - 677,
ISSN: 0196-9722 - Language:
- English
- Publication year:
- 2024
- Bibliographic description:
- Xu Y., Shi L., Wang J., Zhang H., Szczerbicki E.: Smart Karyotyping Image Selection Based on Commonsense Knowledge Reasoning// CYBERNETICS AND SYSTEMS -Vol. 55,iss. 3 (2024), s.668-677
- DOI:
- Digital Object Identifier (open in new tab) 10.1080/01969722.2022.2162738
- Sources of funding:
-
- Free publication
- Verified by:
- Gdańsk University of Technology
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