Computer-aided diagnosis using embedded ensemble deep learning for multiclass drug-resistant tuberculosis classification

INTRODUCTION: This study aims to develop a web application, TB-DRD-CXR, for the categorization of tuberculosis (TB) patients into subgroups based on their level of drug resistance. The application utilizes an ensemble deep learning model that classifies TB strains into five subtypes: drug sensitive...

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Detalles Bibliográficos
Autores principales: Sethanan, Kanchana, Pitakaso, Rapeepan, Srichok, Thanatkij, Khonjun, Surajet, Weerayuth, Nantawatana, Prasitpuriprecha, Chutinun, Preeprem, Thanawadee, Jantama, Sirima Suvarnakuta, Gonwirat, Sarayut, Enkvetchakul, Prem, Kaewta, Chutchai, Nanthasamroeng, Natthapong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10333053/
https://www.ncbi.nlm.nih.gov/pubmed/37441685
http://dx.doi.org/10.3389/fmed.2023.1122222

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10333053/
https://www.ncbi.nlm.nih.gov/pubmed/37441685
http://dx.doi.org/10.3389/fmed.2023.1122222

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