Semantic characteristic grading of pulmonary nodules based on deep neural networks
Abstract Background Accurate grading of semantic characteristics is helpful for radiologists to determine the probabilities of the likelihood of malignancy of a pulmonary nodule. Nevertheless, because of the complex and varied properties of pulmonary nodules, assessing semantic characteristics (SC)...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2023-10-01
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| Series: | BMC Medical Imaging |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12880-023-01112-4 |