Author:
Liu Zihang,Zhao Chunhui,Lu Yan,Jiang Yu,Yan Jingtian
Funder
Fundamental Research Funds for the Central Universities
Zhejiang University
National Science Fund for Distinguished Young Scholars
State Key Laboratory of Industrial Control Technology
Subject
Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications
Reference31 articles.
1. Y. F. Mao, “Studies on Category Prediction of Ovarian Cancers Based on Magnetic Resonance Images,” M.S. thesis, Dept. Future Technologies, Turku Univ, Turku, Finland, 2019.
2. SESV: Accurate medical image segmentation by predicting and correcting errors;Xie;IEEE Trans. Med. Imaging.,2020
3. Automated computer-assisted detection of follicles in ultrasound images of ovary;Potočnik;J. Med. Syst,1997
4. Ovarian ultrasound image analysis: Follicle segmentation;Krivanek;IEEE Trans. Med. Imaging.,1998
5. Recognition of follicles in ultrasound images of ovaries using geometric features;Hiremath,2009
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