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An Effective Method for Lung Cancer Diagnosis from CT Scan Using Deep Learning-Based Support Vector Network
SIMPLE SUMMARY: This study provides an efficient method for lung cancer diagnosis from computed tomography images and employs deep learning-supported support vector machine. Experimental results indicates that the proposed approach yields a 94% accuracy and performs better than existing models. ABST...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9657078/ https://www.ncbi.nlm.nih.gov/pubmed/36358875 http://dx.doi.org/10.3390/cancers14215457 |