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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Bibliografiska uppgifter

Huvudupphov:	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
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	Frontiers Media S.A. 2023-06-01
Serie:	Frontiers in Medicine
Ämnen:	tuberculosis drug resistant computer aided diagnosis ensemble deep learning artificial multiple intelligence system
Länkar:	https://www.frontiersin.org/articles/10.3389/fmed.2023.1122222/full
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