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References from A two-step concept-based approach for enhanced interpretability and trust in skin lesion diagnosis. Local targets link to admitted publications; unresolved targets remain external evidence.
Deep learning ensembles for melanoma recognition in dermoscopy images
10.1147/jrd.2017.2708299 · 2017 · External reference
10.1038/nature21056
10.1038/nature21056 · External reference
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2021 · External reference
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2023 · External reference
10.18653/v1/2022.emnlp-main.256
10.18653/v1/2022.emnlp-main.256 · 2022 · External reference
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2024 · External reference
Transparent medical image ai via an image–text foundation model grounded in medical literature
2024 · External reference
10.1007/978-3-031-72117-5_5
10.1007/978-3-031-72117-5_5 · External reference
Language models are unsupervised multitask learners
2019 · External reference
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2020 · External reference
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2022 · External reference
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10.1038/s41467-024-52417-z
10.1038/s41467-024-52417-z · External reference
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2013 · External reference
Seven-point checklist and skin lesion classification using multitask multimodal neural nets
10.1109/jbhi.2018.2824327 · 2019 · External reference
The ham10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions
10.1038/sdata.2018.161 · 2018 · External reference
Dermatologist-like explainable ai enhances trust and confidence in diagnosing melanoma
10.1038/s41467-023-43095-4 · 2024 · External reference
ABCDE—an evolving concept in the early detection of melanoma
10.1001/archderm.141.8.1032 · 2005 · External reference
The rise of artificial intelligence in dermatology: perspectives and potentials
10.4103/ds.v42-2_editorial · 2024 · External reference
10.1016/j.jid.2023.02.035
10.1016/j.jid.2023.02.035 · External reference
