Abstract
Convolutional Neural Networks (CNNs) architecture are widely used in machine learning and deep learning, but its application in pill shape detection and recognition is still a challenge. This paper proposes a method to detect and recognize the shape of a pill with the Mask R-CNN network. Through experimenting and checking the results on some traditional and proposed methods to evaluate the efficiency of the construction model. The CURE dataset was used to both train and test. The proposed method achieved 94.13% IoU score.
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An, N.H., Thuy, L.N.L., Bao, P.T. (2022). Shape of Pill Recognition Using Mask R-CNN. In: Dang, T.K., Küng, J., Chung, T.M. (eds) Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications. FDSE 2022. Communications in Computer and Information Science, vol 1688. Springer, Singapore. https://doi.org/10.1007/978-981-19-8069-5_57
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DOI: https://doi.org/10.1007/978-981-19-8069-5_57
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