Classification of scanning electron microscope images of pharmaceutical excipients using deep convolutional neural networks with transfer learning

• Main Authors: Hiroaki Iwata (Author), Yoshihiro Hayashi (Author), Aki Hasegawa (Author), Kei Terayama (Author), Yasushi Okuno (Author)
• Format: Book
• Published: Elsevier, 2022-12-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Convolutional Neural Networks (CNNs) are image analysis techniques that have been applied to image classification in various fields. In this study, we applied a CNN to classify scanning electron microscopy (SEM) images of pharmaceutical raw material powders to determine if a CNN can evaluate particl...