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Early detection of tuberculosis using hybrid feature descriptors and deep learning network
PURPOSE: To detect tuberculosis (TB) at an early stage by analyzing chest X-ray images using a deep neural network, and to evaluate the efficacy of proposed model by comparing it with existing studies. MATERIAL AND METHODS: For the study, an open-source X-ray images were used. Dataset consisted of t...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Termedia Publishing House
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10551735/ https://www.ncbi.nlm.nih.gov/pubmed/37808172 http://dx.doi.org/10.5114/pjr.2023.131732 |