Semantic characteristic grading of pulmonary nodules based on deep neural networks

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) is a dif...

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Detalles Bibliográficos
Autores principales: Liu, Caixia, Zhao, Ruibin, Pang, Mingyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10571455/
https://www.ncbi.nlm.nih.gov/pubmed/37833636
http://dx.doi.org/10.1186/s12880-023-01112-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10571455/
https://www.ncbi.nlm.nih.gov/pubmed/37833636
http://dx.doi.org/10.1186/s12880-023-01112-4

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