Embedded amis-deep learning with dialog-based object query system for multi-class tuberculosis drug response classification

HIGHLIGHTS

• who: Chutinun Prasitpuriprecha et al. from the Faculty of Pharmaceutical Sciences, Ubon Ratchathani University, Ubon Ratchathani, Thailand have published the research: Embedded AMIS-Deep Learning with Dialog-Based Object Query System for Multi-Class Tuberculosis Drug Response Classification, in the Journal: Diagnostics 2022, 12,This 2980 of 25/Oct/2022
• what: This study provided a fast and effective scheme for the four subtypes of TB: Drug-sensitive tuberculosis (DS-TB) drug-resistant tuberculosis (DR-TB) multidrug-resistant tuberculosis (MDRTB) and extensively drug-resistant tuberculosis (XDR-TB). Inspired by these unmet needs, the authors propose the . . .
  

   

  

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