DeepCIN: Attention-based cervical histology image classification with sequential feature modeling for pathologist-level accuracy
Background: Cervical cancer is one of the deadliest cancers affecting women globally. Cervical intraepithelial neoplasia (CIN) assessment using histopathological examination of cervical biopsy slides is subject to interobserver variability. Automated processing of digitized histopathology slides has...
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| Main Authors: | , , , , , , , |
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| Format: | Book |
| Published: |
Elsevier,
2020-01-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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