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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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| Publicat a: | Sensors (Basel) |
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| Autors principals: | , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7249201/ https://ncbi.nlm.nih.gov/pubmed/32397567 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20092717 |
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