research-article
Authors: Hung-Ju Liao, Ya-Chu Hsieh, Shih-Wen Chiu, Meng-Rui Lee, Kea-Tiong Tang, and Min Sun
ICBSP '23: Proceedings of the 2023 8th International Conference on Biomedical Imaging, Signal Processing
October 2023
Pages 9 - 16
Published: 29 January 2024 Publication History
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Abstract
Lung cancer is a significant cause of cancer-related deaths globally. X-ray image has been widely used for first-stage screening as it is affordable and widely available. Recently, with the development of the gas sensor IC chip, low-cost enose sensing exhaled breath from patients can potentially be used for the first-stage screening in the near future. We propose a share-embedding model combining x-ray images and enose sensory signals to diagnose lung cancer. Our model contains two branches: the image branch and the enose branch. Since the lack of the enose data, we try to use the pretrained image model to guide the enose branch to align toward the embedding space that the image model learned. Our share-embedding model is designed to be robust to domain shifts across devices and environments. To further improve performance, we use semi-supervised learning with instance weighting to transfer the model to the unlabeled target domain. To train and evaluate the performance, we collect the first paired X-ray images and enose data across multiple devices and clinical environments. In the experiments, our method outperforms each individual branch and a feature concatenation fusion method. In the cross-device setting, our method leveraging semi-supervised learning achieves the best performance.
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Index Terms
Shared Embedding of X-ray & Enose Networks for Lung Cancer Classification
Applied computing
Life and medical sciences
Health informatics
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ICBSP '23: Proceedings of the 2023 8th International Conference on Biomedical Imaging, Signal Processing
October 2023
127 pages
ISBN:9798400716584
DOI:10.1145/3634875
Copyright © 2023 ACM.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 29 January 2024
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Author Tags
- Lung cancer
- across devices and environments
- enose
- share-embedding model
- x-ray images
Qualifiers
- Research-article
- Research
- Refereed limited
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ICBSP 2023
ICBSP 2023: 2023 8th International Conference on Biomedical Imaging, Signal Processing
October 20 - 22, 2023
Singapore, Singapore
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