A CNN-based active learning framework to identify mycobacteria in digitized Ziehl-Neelsen stained human tissues

Computerized Medical Imaging and Graphics(2020)

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摘要
•Machine learning can detect acid-fast bacteria in Ziehl-Neelsen stained tissue slides.•Active learning improved feature learning by the convolutional neural network.•Logistic regression classified slides based on acid-fast bacteria heatmap features.•Proposed workflow can improve screening of Ziehl-Neelsen stained tissues.
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关键词
Computational pathology,Deep learning,Active learning,Tuberculosis,Bacilli detection,Computer-assisted diagnosis
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