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Meta-learning in healthcare: A survey
We then divide the employed meta-learning approaches in the healthcare domain into two main categories of multi/single-task learning and many/few-shot learning and survey the studies.
Deep conv-attention model for diagnosing left bundle branch block from 12-lead electrocardiograms
This study presents a deep learning model for the detection of LBBB arrhythmia from 12-lead ECG data.
DeFungi: Direct Mycological Examination of Microscopic Fungi Images
The statistics provided by the two approaches create an initial point of reference to encourage future research works to improve classification performance.
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