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. 2023 Feb 13;13(3):1537–1549. doi: 10.21037/qims-22-148

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2023 Quantitative Imaging in Medicine and Surgery. All rights reserved.

Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0.

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Feature importance and contribution to the final prediction of each task. (A) Feature importance ranking for HER2 expression; (B) contribution of CT and PET features to predicting HER2 expression; (C) feature importance ranking for prognosis prediction; (D) contribution of CT and PET features for prognosis prediction. HER2, human epidermal growth factor receptor 2; CT, computed tomography; PET, positron emission tomography; GLCM, gray-level co-occurrence matrix; GLRLM, gray-level run-length matrix. GLSZM, gray-level size zone matrix; HLH, high, low, and high frequency; HHL, high, high, and low frequency; LLH, low, low, and high frequency; LLL, low, low, and low frequency.