research-article
Authors: Chao Xia, Wei Liu, Zhao jiang Liu, Bing Chen, Jie Yang
ICCAI '24: Proceedings of the 2024 10th International Conference on Computing and Artificial Intelligence
Pages 60 - 66
Published: 30 August 2024 Publication History
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Abstract
Chromosome recognition is a critical and time-consuming process in karyotyping, especially for R-band chromosomes with poor visualization quality. In this paper, we propose an end-to-end grouping guided R-band chromosome recognition method GRC-Net. GRC-Net serves the chromosome recognition task as the main task and takes the chromosome length grouping task and centromere position grouping task as auxiliary tasks. Two auxiliary modules, Chromosome Length Grouping Module (CLGM) and Centromere Position Grouping Model (CPGM), are designed to extract the task-specific feature and refine the feature map of the main task. A large-scale R-band chromosome dataset with 1735 cases was collected. Experiment results on the 423 testing cases show that the proposed GRC-Net gets the highest accuracy of 96.87%, outperforming the baseline by 2.24%. With grouping task-guided feature extraction, GRC-Net reduces approximately 50% of the inter-group misclassification. The proposed GRC-Net can serve as a general framework for incorporating the domain knowledge into the process of feature learning, meanwhile, a powerful tool to assist clinical chromosome karyotyping.
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Index Terms
GRC-Net: Grouping Guided R-band Chromosome Recognition Network
Applied computing
Life and medical sciences
Computing methodologies
Artificial intelligence
Computer vision
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Published In
ICCAI '24: Proceedings of the 2024 10th International Conference on Computing and Artificial Intelligence
April 2024
491 pages
ISBN:9798400717055
DOI:10.1145/3669754
Copyright © 2024 ACM.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 30 August 2024
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Author Tags
- Auxiliary module
- Chromosome grouping
- Chromosome recognition
Qualifiers
- Research-article
- Research
- Refereed limited
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ICCAI 2024
ICCAI 2024: 2024 10th International Conference on Computing and Artificial Intelligence
April 26 - 29, 2024
Bali Island, Indonesia
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