A Novel Deep Learning Model to Distinguish Malignant Versus Benign Solid Lung Nodules

BACKGROUND: In this study we aimed to establish a new transfer learning model based on noncontrast and thin-layer computed tomography (CT) scans to distinguish between malignant and benign solid lung nodules. MATERIAL/METHODS: CT images from 202 patients with 210 lesions (malignant: 127, benign: 83)...

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Detalles Bibliográficos
Autores principales: Wang, Shuwen, Zhou, Leilei, Li, Xiaoran, Tang, Jie, Wu, Jing, Yin, Xindao, Chen, Yu-Chen, Lu, Lingquan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Scientific Literature, Inc. 2022
Materias:
Database Analysis
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9344882/
https://www.ncbi.nlm.nih.gov/pubmed/35903037
http://dx.doi.org/10.12659/MSM.936830

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9344882/
https://www.ncbi.nlm.nih.gov/pubmed/35903037
http://dx.doi.org/10.12659/MSM.936830

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