EpithNet: Deep regression for epithelium segmentation in cervical histology images
Background: Automated pathology techniques for detecting cervical cancer at the premalignant stage have advantages for women in areas with limited medical resources. Methods: This article presents EpithNet, a deep learning approach for the critical step of automated epithelium segmentation in digiti...
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Main Authors: | Sudhir Sornapudi (Author), Jason Hagerty (Author), R Joe Stanley (Author), William V Stoecker (Author), Rodney Long (Author), Sameer Antani (Author), George Thoma (Author), Rosemary Zuna (Author), Shellaine R Frazier (Author) |
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Format: | Book |
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Elsevier,
2020-01-01T00:00:00Z.
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Online Access: | Connect to this object online. |
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