Detection and Classification of Cervical Exfoliated Cells Based on Faster R-CNN*-Reference-Cited by-同舟云学术

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Detection and Classification of Cervical Exfoliated Cells Based on Faster R-CNN*

Published:2019-10 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE 11th International Conference on Advanced Infocomm Technology (ICAIT)
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Author:

Du ,Li Xueyu,Li Qinghua

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8930848/8935886/08935931.pdf?arnumber=8935931

Cited by 23 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Pixel-wise segmentation of cells in digitized Pap smear images;Scientific Data;2024-07-06

2. AI-assisted cervical cytology precancerous screening for high-risk population in resource limited regions using compact microscope;2024-06-12

3. SCAC: A Semi-Supervised Learning Approach for Cervical Abnormal Cell Detection;IEEE Journal of Biomedical and Health Informatics;2024-06

4. Self-supervised learning-based cervical cytology for the triage of HPV-positive women in resource-limited settings and low-data regime;Computers in Biology and Medicine;2024-02

5. Segmentation of Overlapping Cells in Cervical Cytology Images: A Survey;IEEE Access;2024

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