Automated microbial recognition from gram-stained micrographs via CNN and metadata decision support
Introduction Accurate and timely identification of microorganisms is critical for guiding clinical decision-making, ensuring biosafety, and supporting microbiological research. Standard morphological assessments often require significant manual effort and specialized expertise, underscoring the need for automated, high...