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Synapse
February 22, 2026Open Access

Automated triage of cancer-suspicious skin lesions with 3D total-body photography

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Authors

NKNicholas R KurtanskyMGMaura C. GillisOOOzan Oktay

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Overview

Automated triage improves skin cancer detection in patients, suggesting enhanced diagnostic efficiency.

Key Points

  • The aim is to improve early detection of skin cancer by utilizing automated triage methods for skin lesions.
  • Utilized over 900,000 lesion crops from 3D total body photography.
  • Conducted an online grand challenge for machine learning applications in skin cancer detection.
  • Compared models incorporating intra-patient context against traditional approaches.
  • Demonstrated superior performance of the model using intra-patient context.
  • Showed clinical plausibility for automatic triage of atypical skin lesions.
  • Highlighted computational advantages over previously published methods.

Cite This Study

Kurtansky et al. (2025) studied this question.

synapsesocial.com/papers/699a9e00482488d673cd4543https://doi.org/10.5167/uzh-292093
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