A Deep Feature Extraction Method for HEp-2 Cell Image Classification

A Deep Feature Extraction Method for HEp-2 Cell Image Classification

The automated and accurate classification of the images portraying the Human Epithelial cells of type 2 (HEp-2) represents one of the most important steps in the diagnosis procedure of many autoimmune diseases. The extreme intra-class variations of the HEp-2 cell images datasets drastically complica...

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Bibliographic Details
Main Authors: Caleb Vununu, Suk-Hwan Lee, Ki-Ryong Kwon
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Electronics
Subjects:
HEp-2 cell classification
HEp-2
deep learning
convolutional neural networks
auto-encoders
artificial neural network
pattern recognition
Online Access:http://www.mdpi.com/2079-9292/8/1/20

Internet

http://www.mdpi.com/2079-9292/8/1/20

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