End-to-end learning via a convolutional neural network for cancer cell line classification

End-to-end learning via a convolutional neural network for cancer cell line classification

Purpose – Computer vision for automated analysis of cells and tissues usually include extracting features from images before analyzing such features via various machine learning and machine vision algorithms. The purpose of this work is to explore and demonstrate the ability of a Convolutional Neura...

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Bibliographic Details
Main Authors: Darlington A. Akogo, Xavier-Lewis Palmer
Format: Article
Language:English
Published: Emerald Publishing 2019-04-01
Series:Journal of Industry-University Collaboration
Subjects:
end-to-end learning
convolutional neural network
cancer cell line classification
Online Access:https://www.emerald.com/insight/content/doi/10.1108/JIUC-02-2019-002/full/pdf?title=end-to-end-learning-via-a-convolutional-neural-network-for-cancer-cell-line-classification

Internet

https://www.emerald.com/insight/content/doi/10.1108/JIUC-02-2019-002/full/pdf?title=end-to-end-learning-via-a-convolutional-neural-network-for-cancer-cell-line-classification

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