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...

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Detalles Bibliográficos
Autores principales: Verma, Garima, Kumar, Ajay, Dixit, Sushil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Termedia Publishing House 2023
Materias:
Original Paper
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

Internet

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

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