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. 2023 Jun 27;15(13):3369. doi: 10.3390/cancers15133369

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© 2023 by the authors.

Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

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Comparison of training and validation loss and AUC-ROC history using the proposed model on a 3-fold CV for the two-class problem (LGG/HGG) and the multi-class problem (g.2/g.3/g.4). The results are shown for two different scenarios: (A,C) considering the entire brain, and (B,D) considering tumor ROIs.

Comparison of training and validation loss and AUC-ROC history using the proposed model on a 3-fold CV for the two-class problem (LGG/HGG) and the multi-class problem (g.2/g.3/g.4). The results are shown for two different scenarios: (A,C) considering the entire brain, and (B,D) considering tumor ROIs.