Robust whole slide image analysis for cervical cancer screening using deep learning
Computer-assisted diagnosis is key for scaling up cervical cancer screening, but current algorithms perform poorly on whole slide image analysis and generalization. Here, the authors present a WSI classification and top lesion cell recommendation system using deep learning, and achieve comparable re...
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Nature Portfolio
2021
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oai:doaj.org-article:22c2f657a4034084a68ccb9d935f65902021-12-02T18:14:09ZRobust whole slide image analysis for cervical cancer screening using deep learning10.1038/s41467-021-25296-x2041-1723https://doaj.org/article/22c2f657a4034084a68ccb9d935f65902021-09-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-25296-xhttps://doaj.org/toc/2041-1723Computer-assisted diagnosis is key for scaling up cervical cancer screening, but current algorithms perform poorly on whole slide image analysis and generalization. Here, the authors present a WSI classification and top lesion cell recommendation system using deep learning, and achieve comparable results with cytologists.Shenghua ChengSibo LiuJingya YuGong RaoYuwei XiaoWei HanWenjie ZhuXiaohua LvNing LiJing CaiZehua WangXi FengFei YangXiebo GengJiabo MaXu LiZiquan WeiXueying ZhangTingwei QuanShaoqun ZengLi ChenJunbo HuXiuli LiuNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-10 (2021) |
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DOAJ |
| collection |
DOAJ |
| language |
EN |
| topic |
Science Q |
| spellingShingle |
Science Q Shenghua Cheng Sibo Liu Jingya Yu Gong Rao Yuwei Xiao Wei Han Wenjie Zhu Xiaohua Lv Ning Li Jing Cai Zehua Wang Xi Feng Fei Yang Xiebo Geng Jiabo Ma Xu Li Ziquan Wei Xueying Zhang Tingwei Quan Shaoqun Zeng Li Chen Junbo Hu Xiuli Liu Robust whole slide image analysis for cervical cancer screening using deep learning |
| description |
Computer-assisted diagnosis is key for scaling up cervical cancer screening, but current algorithms perform poorly on whole slide image analysis and generalization. Here, the authors present a WSI classification and top lesion cell recommendation system using deep learning, and achieve comparable results with cytologists. |
| format |
article |
| author |
Shenghua Cheng Sibo Liu Jingya Yu Gong Rao Yuwei Xiao Wei Han Wenjie Zhu Xiaohua Lv Ning Li Jing Cai Zehua Wang Xi Feng Fei Yang Xiebo Geng Jiabo Ma Xu Li Ziquan Wei Xueying Zhang Tingwei Quan Shaoqun Zeng Li Chen Junbo Hu Xiuli Liu |
| author_facet |
Shenghua Cheng Sibo Liu Jingya Yu Gong Rao Yuwei Xiao Wei Han Wenjie Zhu Xiaohua Lv Ning Li Jing Cai Zehua Wang Xi Feng Fei Yang Xiebo Geng Jiabo Ma Xu Li Ziquan Wei Xueying Zhang Tingwei Quan Shaoqun Zeng Li Chen Junbo Hu Xiuli Liu |
| author_sort |
Shenghua Cheng |
| title |
Robust whole slide image analysis for cervical cancer screening using deep learning |
| title_short |
Robust whole slide image analysis for cervical cancer screening using deep learning |
| title_full |
Robust whole slide image analysis for cervical cancer screening using deep learning |
| title_fullStr |
Robust whole slide image analysis for cervical cancer screening using deep learning |
| title_full_unstemmed |
Robust whole slide image analysis for cervical cancer screening using deep learning |
| title_sort |
robust whole slide image analysis for cervical cancer screening using deep learning |
| publisher |
Nature Portfolio |
| publishDate |
2021 |
| url |
https://doaj.org/article/22c2f657a4034084a68ccb9d935f6590 |
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