Deep learning-based image classification and quantification models for tablet sticking - Pharma Excipients

Deep learning-based image classification and quantification models for tablet sticking - Pharma Excipients

Abstract Sticking can significantly affect drug product quality, manufacturing efficiency, and therapeutic efficacy in pharmaceutical tablet manufacturing. This study presents a novel integrated model with a convolutional neural network (CNN) and gray-level co-occurrence matrix (GLCM) based features combined with a support vector machine to classify and quantify tablet sticking. The classification model was developed and evaluated using CNN arch…