Hepatocellular Carcinoma Recognition from Ultrasound Images Through Convolutional Neural Networks and Their Combinations
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-51120-2_1
Reference22 articles.
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3. Sujana, H., Swarnamani, S.: Application of artificial neural networks for the classification of liver lesions by texture parameters. Ultrasound Med. Biol. 22, 1177–1181 (1996)
4. Duda, D., et al.: Computer aided diagnosis of liver tumors based on multi-image texture analysis of contrast-enhanced CT. Stud. Log. Gramm. Rhetor. 35, 49–70 (2013)
5. Byra, M., Styczynski, G.: Transfer learning with deep convolutional neural networks for liver steatosis assessment in ultrasound images. Int. J. Comput. Assist. Radiol. Surg. 13, 1895–1900 (2018)
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