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

IntroductionThis 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 tu...

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Detalhes bibliográficos

Principais autores:	Kanchana Sethanan, Rapeepan Pitakaso, Thanatkij Srichok, Surajet Khonjun, Nantawatana Weerayuth, Chutinun Prasitpuriprecha, Thanawadee Preeprem, Sirima Suvarnakuta Jantama, Sarayut Gonwirat, Prem Enkvetchakul, Chutchai Kaewta, Natthapong Nanthasamroeng
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2023-06-01
coleção:	Frontiers in Medicine
Assuntos:	tuberculosis drug resistant computer aided diagnosis ensemble deep learning artificial multiple intelligence system
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fmed.2023.1122222/full
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