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优化的概率神经网络对基于介电常数的肺癌及其周围正常组织的鉴别
OBJECTIVE: To propose a probabilistic neural network classification method optimized by simulated annealing algorithm (SA-PNN) to discriminate lung cancer and adjacent normal tissues based on permittivity. METHODS: The permittivity of lung tumors and the adjacent normal tissues was measured by an op...
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| Publicado no: | Nan Fang Yi Ke Da Xue Xue Bao |
|---|---|
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
南方医科大学学报编辑部
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7606233/ https://ncbi.nlm.nih.gov/pubmed/33118516 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.12122/j.issn.1673-4254.2020.10.17 |
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