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

Institutions

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

P.P. Parekh, Richard O. Oyeleke, Tejas Vishwanath
2 citations
JMIR Dermatology
Image Processing Techniques and Applications
0.64
article

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

P.P. Parekh, Richard O. Oyeleke, Tejas Vishwanath
article en
2 citations

Abstract

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.

JMIR DermatologyVol. 7
Stevens Institute of Technology (US)
Openalex Percentile: Top 25%
Image Processing Techniques and Applications
0.64
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.