Efficient Multimodal-Contribution-Aware N-pair Network for Focal Liver Lesions
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-7549-5_27
Reference20 articles.
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3. Xie, L., Guang, Y., Ding, H., Cai, A., Huang, Y.: Diagnostic value of contrast-enhanced ultrasound, computed tomography and magnetic resonance imaging for focal liver lesions: a meta-analysis. Ultrasound Med. Biol. 37(6), 854–861 (2011)
4. Zhou, W., et al.: Prediction of microvascular invasion of hepatocellular carcinoma based on contrast-enhanced MR and 3D convolutional neural networks. Front. Oncol. 11, 588010 (2021)
5. Zhang, Y., et al.: Deep learning with 3D convolutional neural network for noninvasive prediction of microvascular invasion in hepatocellular carcinoma. J. Magn. Reson. Imaging 54(1), 134–143 (2021)
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