A Strictly Unsupervised Deep Learning Method for HEp-2 Cell Image Classification

A Strictly Unsupervised Deep Learning Method for HEp-2 Cell Image Classification

Classifying the images that portray the Human Epithelial cells of type 2 (HEp-2) represents one of the most important steps in the diagnosis procedure of autoimmune diseases. Performing this classification manually represents an extremely complicated task due to the heterogeneity of these cellular i...

Full description

Bibliographic Details
Main Authors: Caleb Vununu, Suk-Hwan Lee, Ki-Ryong Kwon
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Sensors
Subjects:
HEp-2 cell images classification
computer-aided diagnosis
pattern recognition
deep learning
convolutional autoencoders
cell images clustering
Online Access:https://www.mdpi.com/1424-8220/20/9/2717

Internet

https://www.mdpi.com/1424-8220/20/9/2717

Similar Items