A multi-stage semi-supervised learning for ankle fracture classification on CT images Article Swipe
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· 2024
· Open Access
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· DOI: https://doi.org/10.48550/arxiv.2403.19983
Because of the complicated mechanism of ankle injury, it is very difficult to diagnose ankle fracture in clinic. In order to simplify the process of fracture diagnosis, an automatic diagnosis model of ankle fracture was proposed. Firstly, a tibia-fibula segmentation network is proposed for the joint tibiofibular region of the ankle joint, and the corresponding segmentation dataset is established on the basis of fracture data. Secondly, the image registration method is used to register the bone segmentation mask with the normal bone mask. Finally, a semi-supervised classifier is constructed to make full use of a large number of unlabeled data to classify ankle fractures. Experiments show that the proposed method can segment fractures with fracture lines accurately and has better performance than the general method. At the same time, this method is superior to classification network in several indexes.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2403.19983
- https://arxiv.org/pdf/2403.19983
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4393399159
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4393399159Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2403.19983Digital Object Identifier
- Title
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A multi-stage semi-supervised learning for ankle fracture classification on CT imagesWork title
- Type
-
preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-03-29Full publication date if available
- Authors
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Hongzhi Liu, Guicheng Li, Jiacheng Nie, Hui Tang, Chunfeng Yang, Qianjin Feng, Hailin Xu, Yang ChenList of authors in order
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https://arxiv.org/abs/2403.19983Publisher landing page
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https://arxiv.org/pdf/2403.19983Direct link to full text PDF
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
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https://arxiv.org/pdf/2403.19983Direct OA link when available
- Concepts
-
Stage (stratigraphy), Ankle, Fracture (geology), Artificial intelligence, Computer science, Pattern recognition (psychology), Medicine, Geology, Anatomy, Geotechnical engineering, PaleontologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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