Log exponential shrinkage: a denoising technique for breast ultrasound images
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software
Link
https://link.springer.com/content/pdf/10.1007/s00371-022-02636-6.pdf
Reference48 articles.
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3. Mulmule, P.V., Kanphade, R.D., Dhane, D.M.: Artificial intelligence-assisted cervical dysplasia detection using papanicolaou smear images. Vis. Comput. (2022). https://doi.org/10.1007/s00371-022-02463-9
4. Zhao, J., Wang, S.H., Liu, X., Liu, Y., Chen, Y.Q.: Early diagnosis of cirrhosis via automatic location and geometric description of liver capsule. Vis. Comput. 34(12), 1677–1689 (2018). https://doi.org/10.1007/s00371-017-1441-2
5. Anaya-Isaza, A., Mera-Jiménez, L., Cabrera-Chavarro, J.M., Guachi-Guachi, L., Peluffo-Ordóñez, D., Rios-Patiño, J.I.: Comparison of current deep convolutional neural networks for the segmentation of breast masses in mammograms. IEEE Access 9, 152206–152225 (2021). https://doi.org/10.1109/ACCESS.2021.3127862
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