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Tuberculosis Bacteria Detection and Counting in Fluorescence Microscopy Images Using a Multi-Stage Deep Learning Pipeline.
Marios Zachariou
Ognjen Arandjelovic
Wilber Sabiiti
Bariki Mtafya
Derek Sloan
Published in:
Inf. (2022)
Keyphrases
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multistage
deep learning
fluorescence microscopy images
single stage
unsupervised learning
dynamic programming
visual inspection
object detection
optimal policy
unsupervised feature learning
mental models
machine learning
weakly supervised
data sets
information extraction
image segmentation
computer vision