Deep Learning-Based In Vitro Detection Method for Cellular Impurities in Human Cell-Processed Therapeutic Products

Deep Learning-Based In Vitro Detection Method for Cellular Impurities in Human Cell-Processed Therapeutic Products

Automated detection of impurities is in demand for evaluating the quality and safety of human cell-processed therapeutic products in regenerative medicine. Deep learning (DL) is a powerful method for classifying and recognizing images in cell biology, diagnostic medicine, and other fields because it...

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Bibliographic Details
Main Authors: Yasunari Matsuzaka, Shinji Kusakawa, Yoshihiro Uesawa, Yoji Sato, Mitsutoshi Satoh
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Applied Sciences
Subjects:
human cell-processed therapeutic products
deep learning
convolutional neural networks
hyperparameters
image classification
Online Access:https://www.mdpi.com/2076-3417/11/20/9755

Internet

https://www.mdpi.com/2076-3417/11/20/9755

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