Front. Oncol. Frontiers in Oncology Front. Oncol. 2234-943X Frontiers Media S.A. 10.3389/fonc.2022.1092191 Oncology Erratum Erratum: Can a proposed double branch multimodality–contribution–aware TripNet improve the prediction performance of the microvascular invasion of hepatocellular carcinoma based on small samples? Frontiers Production Office * Frontiers Media SA, Lausanne, Switzerland

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This article was submitted to Gastrointestinal Cancers: Hepato Pancreatic Biliary Cancers, a section of the journal Frontiers in Oncology

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 An Erratum on Can a proposed double branch multimodality-contribution-aware TripNet improve the prediction performance of the microvascular invasion of hepatocellular carcinoma based on small samples? By Deng Y, Jia X, Yu G, Hou J, Xu H, Ren A, Wang Z, Yang D, and Yang Z (2022) Front. Oncol. 12:1035775. doi: 10.3389/fonc.2022.1035775 hepatocellular carcinoma CT deep learning MRI microvascular invasion

Due to a production error, the figures included in the article were not listed in the correct order. Figure 3 was included as Figure 4, Figure 4 was included as Figure 3, Figure 5 was included as Figure 6, and Figure 6 was included as Figure 5.

The publisher apologizes for this mistake. The original version of this article has been updated.