A Task Decomposing and Cell Comparing Method for Cervical Lesion Cell Detection-Reference-Cited by-全球学者库

A Task Decomposing and Cell Comparing Method for Cervical Lesion Cell Detection

Author:

Chen Tingting¹^ORCID,Zheng Wenhao¹,Ying Haochao²^ORCID,Tan Xiangyu³,Li Kexin³,Li Xiaoping³,Chen Danny Z.⁴^ORCID,Wu Jian⁵

Affiliation:

1. College of Computer Science and Technology, Zhejiang University, Hangzhou, China

2. School of Public Health, Zhejiang University, Hangzhou, China

3. Department of Obstetrics and Gynecology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China

4. Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN, USA

5. Second Affiliated Hospital School of Medicine, School of Public Health, and the Institute of Wenzhou, Zhejiang University, Hangzhou, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Zhejiang Public Welfare Technology Research Project

Wenzhou Bureau of Science and Technology of China

NSF

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software

Link

Reference46 articles.

1. Supervised contrastive learning;khosla;arXiv 2004 11362,2020

Cited by 11 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

3. Causal Attention-Based Lightweight and Efficient Cervical Cancer Cell Detection Model;2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2023-12-05