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CR-Unet: A Composite Network for Ovary and Follicle Segmentation in Ultrasound Images

  • Published:2020-04 Issue:4 Volume:24 Page:974-983
  • ISSN:2168-2194
  • Container-title:IEEE Journal of Biomedical and Health Informatics
  • language:
  • Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Li Haoming,Fang Jinghui,Liu ShengfengORCID,Liang Xiaowen,Yang XinORCID,Mai Zixin,Van Manh TheORCID,Wang TianfuORCID,Chen Zhiyi,Ni DongORCID

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China Stem Cell and Translational Research

Medical Scientific Research Foundation of Guangdong Province

Shenzhen Peacock Plan

Scientific and Technological Livelihood Projects of Liwan District

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Biotechnology

Cited by 71 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. RF-ULM: Ultrasound Localization Microscopy Learned From Radio-Frequency Wavefronts;IEEE Transactions on Medical Imaging;2024-09

2. BKSeg-Net: Segmentation of Ovarian Tumors from Ultrasound Images with Boundary Keypoints Loss;2024 International Conference on Multimedia Analysis and Pattern Recognition (MAPR);2024-08-15

3. A Method for Ovarian Tumor Segmentation based on Segment Anything Model;2024 International Conference on Multimedia Analysis and Pattern Recognition (MAPR);2024-08-15

4. Weighted Fusion Architecture for Improved Ovarian Tumor Segmentation from Ultrasound Images;2024 Tenth International Conference on Communications and Electronics (ICCE);2024-07-31

5. A Coarse-Fine Collaborative Learning Model for Three Vessel Segmentation in Fetal Cardiac Ultrasound Images;IEEE Journal of Biomedical and Health Informatics;2024-07
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