Few-Shot Conditional Learning: Automatic and Reliable Device Classification for Medical Test Equipment
Eva Pachetti,
Giulio Del Corso,
Serena Bardelli
et al.
Abstract:The limited availability of specialized image databases (particularly in hospitals, where tools vary between providers) makes it difficult to train deep learning models. This paper presents a few-shot learning methodology that uses a pre-trained ResNet integrated with an encoder as a backbone to encode conditional shape information for the classification of neonatal resuscitation equipment from less than 100 natural images. The model is also strengthened by incorporating a reliability score, which enriches the… Show more
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