Noise cancellation of polycystic ovarian syndrome ultrasound images using robust two-dimensional fractional fourier transform filter and VGG-16 model
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s41870-024-01773-6.pdf
Reference27 articles.
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2. Denny A, Raj A, Ram C and George R. i-HOPE: Detection and prediction system for polycystic ovary syndrome (PCOS) using machine learning techniques. IEEE Region 10 International Conference TENCON. 2019. 673–678.
3. Vassalou H, Sotiraki M, Michala L (2019) PCOS diagnosis in adolescents: the timeline of a controversy in a systematic review. J Paediatr ndocrinol Metab 32(6):549–559
4. Jha M, Gupta R and Saxena R. Cervical cancer risk prediction using XGboost classifier. 2021 7th International conference on signal processing and communication (ICSC), 2021:133–136.
5. Mishra AK, Roy P, Bandyopadhyay S et al (2022) Achieving highly efficient breast ultrasound tumor classification with deep convolutional neural networks. Int J Inf Technol 14:3311–3320. https://doi.org/10.1007/s41870-022-00901-4
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