Convolutional Neural Networks for Predictive Modeling of Lung Disease
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arXiv
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| Main Authors: | , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866916367244984320 |
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| author | Liang, Yingbin Liu, Xiqing Xia, Haohao Cang, Yiru Zheng, Zitao Yang, Yuanfang |
| author_facet | Liang, Yingbin Liu, Xiqing Xia, Haohao Cang, Yiru Zheng, Zitao Yang, Yuanfang |
| contents | In this paper, Pro-HRnet-CNN, an innovative model combining HRNet and void-convolution techniques, is proposed for disease prediction under lung imaging. Through the experimental comparison on the authoritative LIDC-IDRI dataset, we found that compared with the traditional ResNet-50, Pro-HRnet-CNN showed better performance in the feature extraction and recognition of small-size nodules, significantly improving the detection accuracy. Particularly within the domain of detecting smaller targets, the model has exhibited a remarkable enhancement in accuracy, thereby pioneering an innovative avenue for the early identification and prognostication of pulmonary conditions. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_12605 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Convolutional Neural Networks for Predictive Modeling of Lung Disease Liang, Yingbin Liu, Xiqing Xia, Haohao Cang, Yiru Zheng, Zitao Yang, Yuanfang Image and Video Processing Artificial Intelligence Computer Vision and Pattern Recognition In this paper, Pro-HRnet-CNN, an innovative model combining HRNet and void-convolution techniques, is proposed for disease prediction under lung imaging. Through the experimental comparison on the authoritative LIDC-IDRI dataset, we found that compared with the traditional ResNet-50, Pro-HRnet-CNN showed better performance in the feature extraction and recognition of small-size nodules, significantly improving the detection accuracy. Particularly within the domain of detecting smaller targets, the model has exhibited a remarkable enhancement in accuracy, thereby pioneering an innovative avenue for the early identification and prognostication of pulmonary conditions. |
| title | Convolutional Neural Networks for Predictive Modeling of Lung Disease |
| topic | Image and Video Processing Artificial Intelligence Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2408.12605 |