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Pill Detection Model for Medicine Inspection Based on Deep Learning
This paper proposes a deep learning algorithm that can improve pill identification performance using limited training data. In general, when individual pills are detected in multiple pill images, the algorithm uses multiple pill images from the learning stage. However, when there is an increase in the number of pill types to be identified, the pill combinations in an image increase exponentially. To detect individual pills in an image that contains multiple pills, we first propose an effectivedoi:10.3390/chemosensors10010004 fatcat:5qnrdwhhnzfqnhxr5ntrppi6fi