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April 9, 2024Frontiers in MedicineOpen Access

A protocol for annotation of total body photography for machine learning to analyze skin phenotype and lesion classification

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Authors

CPClare PrimieroBBBrigid Betz‐StableinNANathan Ascott

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Cite This Study

Primiero et al. (2024) studied this question.

synapsesocial.com/papers/68e6fca8b6db6435876766fdhttps://doi.org/10.3389/fmed.2024.1380984
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Improved Skin Cancer Detection with 3D Total Body Photography: Integrating AI Algorithms for Precise Diagnosis2024 · 3 citations
  2. 2Automated triage of cancer-suspicious skin lesions with 3D total-body photography2025
  3. 3BT24 Pseudonymization for artificial intelligence skin lesion datasets: a real-world feasibility study2024 · 1 citations
  4. 4Performance of an automated total body mapping algorithm to detect melanocytic lesions of clinical relevance2024 · 5 citations
  5. 5Automated classification of site-specific cutaneous photodamage using a convolutional neural network and 3D total body photography2025