Unsupervised deep learning of bright-field images for apoptotic cell classification

The classification of apoptotic and living cells is significant in drug screening and treating various diseases. Conventional supervised methods require a large amount of prelabelled data, which are often costly and consume immense human resources in the biological field. In this study, unsupervised...

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Bibliographic Details
Main Authors:	Bi, C. (Author), Chen, T. (Author), He, S. (Author), Sun, B. (Author), Wang, G. (Author), Zheng, Z. (Author)
Format:	Article
Language:	English
Published:	Springer Science and Business Media Deutschland GmbH 2023
Subjects:	Apoptosis Apoptotic cells Auto encoders Autoencoder Bright-field images Cell classification Cell death Cell/B.E Cell/BE Cell-be Clustering algorithms Convolutional neural networks Deep learning Diagnosis Image classification Images classification Learning algorithms Learning systems Living cell
Online Access:	View Fulltext in Publisher

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View Fulltext in Publisher

Unsupervised deep learning of bright-field images for apoptotic cell classification

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