Classification of Liver Abnormality in Ultrasonic Images Using Hilbert Transform Based Feature
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-51120-2_6
Reference13 articles.
1. Tanwar, N., Rahman, K.F.: Machine learning in liver disease diagnosis: current progress and future opportunities. IOP Conf. Ser.: Mater. Sci. Eng. 1022, 012029 (2021)
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3. Alivar, A., Daniali, H., Helfroush, M.S.: Classification of liver diseases using ultrasound images based on feature combination. In: IEEE Proceedings 2014
4. Yeom, S.K., et al.: Prediction of liver cirrhosis, using diagnostic imaging tools. World J. Hepatol. 7(17), 2069–2079 (2015)
5. Duarte-Salazar, C.A., Castro-Ospina, A.E., Becerra, M.A., Delgado-Trejos, E.: Speckle noise reduction in ultrasound images for improving the metrological evaluation of biomedical applications: an overview. IEEE Access 8, 15983–15999 (2020)
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