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ERRATUM article

Front. Oncol., 01 December 2022
Sec. Gastrointestinal Cancers: Hepato Pancreatic Biliary Cancers
Volume 12 - 2022 | https://doi.org/10.3389/fonc.2022.1092191

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 Production Office*
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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) 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, Switzerland

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