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...

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Detalles Bibliográficos
Autores principales: Vununu, Caleb, Lee, Suk-Hwan, Kwon, Ki-Ryong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7249201/
https://www.ncbi.nlm.nih.gov/pubmed/32397567
http://dx.doi.org/10.3390/s20092717

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7249201/
https://www.ncbi.nlm.nih.gov/pubmed/32397567
http://dx.doi.org/10.3390/s20092717

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