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Deep learning-based framework for Mycobacterium tuberculosis bacterial growth detection for antimicrobial susceptibility testing.

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Title: Deep learning-based framework for Mycobacterium tuberculosis bacterial growth detection for antimicrobial susceptibility testing.
Authors: Vo HT; School of Science, Engineering & Technology (SSET), RMIT University, Ho Chi Minh, Viet Nam., Nguyen S; School of Science, Engineering & Technology (SSET), RMIT University, Ho Chi Minh, Viet Nam., Tran AT; School of Science, Engineering & Technology (SSET), RMIT University, Ho Chi Minh, Viet Nam., Nguyen H; School of Science, Engineering & Technology (SSET), RMIT University, Ho Chi Minh, Viet Nam., Ho HB; Oxford University Clinical Research Unit, Ho Chi Minh, Viet Nam.; Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom., Fowler PW; Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.; Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, University of Oxford, Oxford, United Kingdom.; National Institute of Health Research Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford, United Kingdom., Walker TM; Oxford University Clinical Research Unit, Ho Chi Minh, Viet Nam.; Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom., Nguyen TT; School of Science, Engineering & Technology (SSET), RMIT University, Ho Chi Minh, Viet Nam.
Source: Computational and structural biotechnology journal [Comput Struct Biotechnol J] 2025 May 26; Vol. 27, pp. 2208-2218. Date of Electronic Publication: 2025 May 26 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology Country of Publication: Netherlands NLM ID: 101585369 Publication Model: eCollection Cited Medium: Print ISSN: 2001-0370 (Print) Linking ISSN: 20010370 NLM ISO Abbreviation: Comput Struct Biotechnol J Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: Deep learning-based framework for Mycobacterium tuberculosis bacterial growth detection for antimicrobial susceptibility testing.
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  Data: <searchLink fieldCode="AU" term="%22Vo+HT%22">Vo HT</searchLink>; School of Science, Engineering & Technology (SSET), RMIT University, Ho Chi Minh, Viet Nam.<br /><searchLink fieldCode="AU" term="%22Nguyen+S%22">Nguyen S</searchLink>; School of Science, Engineering & Technology (SSET), RMIT University, Ho Chi Minh, Viet Nam.<br /><searchLink fieldCode="AU" term="%22Tran+AT%22">Tran AT</searchLink>; School of Science, Engineering & Technology (SSET), RMIT University, Ho Chi Minh, Viet Nam.<br /><searchLink fieldCode="AU" term="%22Nguyen+H%22">Nguyen H</searchLink>; School of Science, Engineering & Technology (SSET), RMIT University, Ho Chi Minh, Viet Nam.<br /><searchLink fieldCode="AU" term="%22Ho+HB%22">Ho HB</searchLink>; Oxford University Clinical Research Unit, Ho Chi Minh, Viet Nam.; Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Fowler+PW%22">Fowler PW</searchLink>; Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.; Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, University of Oxford, Oxford, United Kingdom.; National Institute of Health Research Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Walker+TM%22">Walker TM</searchLink>; Oxford University Clinical Research Unit, Ho Chi Minh, Viet Nam.; Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Nguyen+TT%22">Nguyen TT</searchLink>; School of Science, Engineering & Technology (SSET), RMIT University, Ho Chi Minh, Viet Nam.
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        Value: 10.1016/j.csbj.2025.05.030
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      – Code: eng
        Text: English
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      – TitleFull: Deep learning-based framework for Mycobacterium tuberculosis bacterial growth detection for antimicrobial susceptibility testing.
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              Text: 2025 May 26
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