Automated quality assessment of large digitised histology cohorts by artificial intelligence
Research using whole slide images (WSIs) of histopathology slides has increased exponentially over recent years. Glass slides from retrospective cohorts, some with patient follow-up data are digitised for the development and validation of artificial intelligence (AI) tools. Such resources, therefore...
| Main Authors: | , , , , , , , , , , |
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| Format: | Journal article |
| Jezik: | English |
| Izdano: |
Springer Nature
2022
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