Integrating NLP And IoT for Concept Extraction from Drug Label Images using Advanced Learning Models
Abstract: This study focuses on enhancing the current technology for identifying the medical concepts in the drug-labeled image by utilizing NLP and IoT to synthesize all the gathered knowledge into a ...
Abstract: Multi-label Image Classification Systems (MICSs) developed based on Deep Neural Networks (DNNs) are extensively used in people's daily life. Currently, although there are a variety of ...
Collecting full annotations to construct multi-label datasets is difficult and labor-consuming. As an effective solution to relieve the annotation burden, single positive multi-label learning (SPML) ...
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