Stacking Ensemble for Pill Image Classification

• 主要な著者: Ahammed F.A.A.B.S., Mohanan V., Yeo S.F., Jothi N.
• その他の著者: 59224694800
• フォーマット: Conference paper
• 出版事項: Springer Science and Business Media Deutschland GmbH 2025
• 主題: Deep learning; Economic and social effects; Efficiency; Image enhancement; Learning systems; Base models; Ensemble methods; Human being; Images classification; Learning-based approach; Machine-learning; Medication errors; Patient safety; Pill classification; Stackings; Image classification

Medication errors, commonly contributed by human factors, have the potential to cause serious harm to human beings. Therefore, a deep learning-based approach is necessary to be developed to ensure patient safety. The investigation involves three core base models?ResNet50, InceptionV3, and MobileNet?...