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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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| 出版年: | J Pathol Inform |
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| 主要な著者: | , , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Wolters Kluwer - Medknow
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7245344/ https://ncbi.nlm.nih.gov/pubmed/32477616 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.4103/jpi.jpi_53_19 |
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