Active, continual fine tuning of convolutional neural networks for reducing annotation efforts

Medical Image Analysis(2021)

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摘要
•ACFT dramatically reduces annotation efforts compared with random selection.•ACFT selects the most informative and representative samples for annotation.•ACFT automatically handles noise labels by computing entropy and diversity locally•ACFT strikes a balance between exploration and exploitation by injecting randomization.•ACFT offers a general solution in both medical and natural imaging.
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关键词
Active learning,Annotation cost reduction,Convolutional neural networks,Computer-aided diagnosis,Medical image analysis,Transfer learning
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