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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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| Publicado no: | Sensors (Basel) |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2020
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| Assuntos: | |
| Acesso em linha: | 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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