Transfer learning approach in deep neural networks for uterine fibroid detection
Author:
Publisher
Inderscience Publishers
Subject
Computational Theory and Mathematics,Computational Mathematics,Hardware and Architecture,Modeling and Simulation,Software
Cited by 6 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. An Analysis Conducted Retrospectively on the Use of Artificial Intelligence in the Detection of Uterine Fibroid Tumours in Ultrasound Examinations;2024 IEEE 9th International Conference for Convergence in Technology (I2CT);2024-04-05
2. An Analysis Conducted Retrospectively on the Use: Artificial Intelligence in the Detection of Uterine Fibroid;2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO);2024-03-14
3. ULTRASOUND-BASED MACHINE LEARNING-AIDED DETECTION OF UTERINE FIBROIDS: INTEGRATING VISION TRANSFORMER FOR IMPROVED ANALYSIS;Biomedical Engineering: Applications, Basis and Communications;2023-11-07
4. Classification of Diabetic Retinopathy Disease Levels by Extracting Topological Features Using Graph Neural Networks;IEEE Access;2023
5. Vascular Implications of COVID-19: Role of Radiological Imaging, Artificial Intelligence, and Tissue Characterization: A Special Report;Journal of Cardiovascular Development and Disease;2022-08-15
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