Automated Classification of Cell Level of HEp-2 Microscopic Images Using Deep Convolutional Neural Networks-Based Diameter Distance Features

Automated Classification of Cell Level of HEp-2 Microscopic Images Using Deep Convolutional Neural Networks-Based Diameter Distance Features

To identify autoimmune diseases in humans, analysis of HEp-2 staining patterns at cell level is the gold standard for clinical practice research communities. An automated procedure is a complicated task due to variations in cell densities, sizes, shapes and patterns, overfitting of features, large-s...

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Bibliographic Details
Main Authors: Mitchell Jensen, Khamael Al-Dulaimi, Khairiyah Saeed Abduljabbar, Jasmine Banks
Format: Article
Language:English
Published: Graz University of Technology 2023-05-01
Series:Journal of Universal Computer Science
Subjects:
Classification
Segmentation
Deep Convontional Ne
Online Access:https://lib.jucs.org/article/96293/download/pdf/

Internet

https://lib.jucs.org/article/96293/download/pdf/

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