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

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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Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-06-01
Series:Frontiers in Medicine
Subjects:
tuberculosis
drug resistant
computer aided diagnosis
ensemble deep learning
artificial multiple intelligence system
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2023.1122222/full

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https://www.frontiersin.org/articles/10.3389/fmed.2023.1122222/full

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