Skin Cancer Detection in Diverse Skin Tones by Machine Learning Combining Audio and Visual Convolutional Neural Networks

The results demonstrate that the dual-modality classifier identifies skin cancer of FS and DS similarly well. Sonification of malignant signs of a skin lesion demonstrates promising results, even with smartphone images, which should be considered as a tool to achieve more effective and accessible healthcare.

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Publication Details

Journal
Oncology
Published
2024-09-23
DOI
https://doi.org/10.1159/000541573
Primary Topic
Cutaneous Melanoma Detection and Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Skin Cancer Detection in Diverse Skin Tones by Machine Learning Combining Audio and Visual Convolutional Neural Networks

Bruce N. Walker, Travis W. Blalock, Eli David, Rebecca Leibowitz et al.
Oncology
Cutaneous Melanoma Detection and Management
article

Skin Cancer Detection in Diverse Skin Tones by Machine Learning Combining Audio and Visual Convolutional Neural Networks

Bruce N. Walker, Travis W. Blalock, Eli David, Rebecca Leibowitz, Avi Dascalu, Daphne Dascalu, Yoram Oron
article en

Abstract

The results demonstrate that the dual-modality classifier identifies skin cancer of FS and DS similarly well. Sonification of malignant signs of a skin lesion demonstrates promising results, even with smartphone images, which should be considered as a tool to achieve more effective and accessible healthcare.

OncologyVol. 103(5)
Georgia Institute of Technology (US), Bar-Ilan University (IL), Emory University (US), Tel Aviv University (IL)
Openalex Percentile: Top 73%
Cutaneous Melanoma Detection and Management
DOIOpen Access PDFOpenAlex
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Skin Cancer Detection in Diverse Skin Tones by Machine Learning Combining Audio and Visual Convolutional Neural Networks — Bruce N. Walker, Travis W. Blalock, et al. · Oncology (2024) | TGRS Research Map | TGRS