The Depth Estimation and Visualization of Dermatological Lesions: Development and Usability Study
When we map the CNN outputs (benign or malignant) to the corresponding hologram, we observe that a malignant lesion has a higher concentration of red spots (infection) in the upper and deeper portions of the skin, and that the malignant cases have deeper conical sections when compared with the benign cases. This proves that the qualitative results map with the initial classification performed by the neural model. The positive feedback provided by the dermatologist suggests that the qualitative conclusion of the method is sufficient.
Authors
- P.P. Parekh (ORCID: https://orcid.org/0009-0008-6163-1021)
- Richard O. Oyeleke (ORCID: https://orcid.org/0000-0001-8308-7436)
- Tejas Vishwanath (ORCID: https://orcid.org/0000-0002-4121-3489)
Institutions
- Stevens Institute of Technology (US)
Publication Details
- Journal
- JMIR Dermatology
- Published
- 2024-11-21
- DOI
- https://doi.org/10.2196/59839
- Citations
- 2
- Primary Topic
- Image Processing Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.64