Automated ANA Pattern Classification using Deep Learning Ensemble Models
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| Format: | Recurso digital |
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Zenodo
2026
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| _version_ | 1866901114677362688 |
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| author | Abri, Rayan |
| author_facet | Abri, Rayan |
| contents | Automated classification of Antinuclear Antibody (ANA) patterns from immunofluorescence microscopy images using deep learning ensemble models. This work presents a multi-label classification approach using ResNet50 and EfficientNet-B0 trained on mixed single-label and multi-pattern datasets, achieving 82.25% exact match accuracy on validation data from hospital dataset with 32 ANA pattern classes (AC-0 to AC-31). |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19359168 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Automated ANA Pattern Classification using Deep Learning Ensemble Models Abri, Rayan deep learning medical imaging antinuclear antibodies immunofluorescence multi-label classification computer vision pattern recognition ensemble learning Automated classification of Antinuclear Antibody (ANA) patterns from immunofluorescence microscopy images using deep learning ensemble models. This work presents a multi-label classification approach using ResNet50 and EfficientNet-B0 trained on mixed single-label and multi-pattern datasets, achieving 82.25% exact match accuracy on validation data from hospital dataset with 32 ANA pattern classes (AC-0 to AC-31). |
| title | Automated ANA Pattern Classification using Deep Learning Ensemble Models |
| topic | deep learning medical imaging antinuclear antibodies immunofluorescence multi-label classification computer vision pattern recognition ensemble learning |
| url | https://doi.org/10.5281/zenodo.19359168 |