Machine Learning Model of ResNet50-Ensemble Voting for Malignant–Benign Small Pulmonary Nodule Classification on Computed Tomography Images

SIMPLE SUMMARY: Machine learning methods have shown promise in accurately identifying small lung nodules. However, further exploration is needed to fully harness the potential of machine learning in distinguishing between benign and malignant nodules. This study aimed to develop and evaluate a ResNe...

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Detalles Bibliográficos
Autores principales: Li, Weiming, Yu, Siqi, Yang, Runhuang, Tian, Yixing, Zhu, Tianyu, Liu, Haotian, Jiao, Danyang, Zhang, Feng, Liu, Xiangtong, Tao, Lixin, Gao, Yan, Li, Qiang, Zhang, Jingbo, Guo, Xiuhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10670717/
https://www.ncbi.nlm.nih.gov/pubmed/38001677
http://dx.doi.org/10.3390/cancers15225417

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10670717/
https://www.ncbi.nlm.nih.gov/pubmed/38001677
http://dx.doi.org/10.3390/cancers15225417

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