This article is 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) 12:1035775. doi: 10.3389/fonc.2022.1035775
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.
Keywords: hepatocellular carcinoma, CT, deep learning, MRI, microvascular invasion
Citation: Frontiers Production Office (2022) 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? Front. Oncol. 12:1092191. doi: 10.3389/fonc.2022.1092191
Received: 07 November 2022; Accepted: 07 November 2022;
Published: 01 December 2022.
Approved by:
Frontiers Editorial Office, Frontiers Media SA, SwitzerlandCopyright © 2022 Frontiers Production Office. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
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