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. 2022 Aug;12(8):4166–4175. doi: 10.21037/qims-22-98

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2022 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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Visualization of the DL model, using two typical WSIs. (A) WSI for eyelid BCC case. (a1-3) Higher magnification view of A. (B) Visualization of indicative regions in A. (b1-3) Higher magnification view of B, corresponding to a1–3, respectively. (C) WSI for eyelid SC case. (c1-4) Higher magnification view of C. (D) Visualization of indicative regions in C. (d1-4) Higher magnification view of D, corresponding to c1–4, respectively. Gray area: greyscaled image; blue area: characteristic regions of the histological structures for eyelid BCC; red area: characteristic regions of the histological structures for eyelid SC. Darker colours indicate greater prediction of confidence. DL, deep learning; WSI, whole slide image; BCC, basal cell carcinoma; SC, sebaceous carcinoma.