Correction to: Scientific Reports https://doi.org/10.1038/s41598-024-70231-x, published online 26 August 2024
In the original version of this Article a reference was omitted from the reference list. The reference is listed below as Reference 34.
34. Tschandl, P., Rosendahl, C. & Kittler, H. (2018). The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions. Sci. Data 5, 180161. https://doi.org/10.1038/sdata.2018.161.
As a result, in the 'Data collection and processing’ section,
“Our research utilized three datasets to evaluate the proposed skin lesion pattern decoding system, including two external test sets from distinct institutions. The primary dataset was the ISIC archive (2016–2020), a renowned public benchmark dermoscopic dataset. Data from the ISIC Archive Gallery (https://challenge.isic-archive.com/data/) included various skin lesion classes along with additional metadata.”
now reads:
“Our research utilized three datasets to evaluate the proposed skin lesion pattern decoding system, including two external test sets from distinct institutions. The primary dataset was the ISIC archive (2016–2020), a renowned public benchmark dermoscopic dataset. Data from the ISIC Archive Gallery (https://challenge.isic-archive.com/data/34) included various skin lesion classes along with additional metadata.”
The original Article has been corrected.
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Wang, Z., Wang, C., Peng, L. et al. Author Correction: Radiomic and deep learning analysis of dermoscopic images for skin lesion pattern decoding. Sci Rep 14, 26232 (2024). https://doi.org/10.1038/s41598-024-76644-y
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DOI: https://doi.org/10.1038/s41598-024-76644-y
