This paper is in the following e-collection/theme issue:

Machine Learning from Digital Images in Dermatology (17) Artificial Intelligence (2129) New Methods (1134) Imaging Informatics (302) Machine Learning (2076) Image Recognition and AI in Dermatology (20) Skin Cancer and Melanoma Prevention (123) Digital Photography and Imaging in Dermatology (43)

Published on in Vol 7 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59839, first published .
The Depth Estimation and Visualization of Dermatological Lesions: Development and Usability Study

The Depth Estimation and Visualization of Dermatological Lesions: Development and Usability Study

The Depth Estimation and Visualization of Dermatological Lesions: Development and Usability Study

Authors of this article:

Pranav Parekh1 Author Orcid Image ;   Richard Oyeleke1 Author Orcid Image ;   Tejas Vishwanath2 Author Orcid Image
Article Authors Cited by (2) Tweetations (1) Metrics

Journals

  1. Wang S, Ren T, Cheng N, Zhang L, Wang R. Innovative Integration of 4D Cardiovascular Reconstruction and Hologram: Framework Development of a New Visualization Tool for Coronary Artery Bypass Grafting Planning. JMIR Medical Informatics 2025;13:e72237 View
  2. Arısan A, Duran G. Camera-Based Monocular Depth Estimation in Orthodontics: Vision Transformer vs. CNN Model Performance. Sensors 2025;25(21):6512 View