RGB-to-hyperspectral conversion for accessible melanoma detection: A CNN-based approach

RGB-to-hyperspectral conversion for accessible melanoma detection: A CNN-based approach

One major difficulty facing the healthcare industry is the early and precise detection of melanoma. With its capacity to record a broad spectrum of electromagnetic wavelengths, hyperspectral imaging (HSI) is a promising technique for accurate melanoma diagnosis. However, the limited accessibility of...

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Bibliographic Details
Main Authors: Bsharat Sondos Mahmoud, Abouelnour Sana, Ahmed Ragad, Elkhatib Mariam, Gaber Sama, Shehieb Wessam, Arshad Kamran, Assaleh Khaled
Format: Article
Language:English
Published: De Gruyter 2024-11-01
Series:Journal of Intelligent Systems
Subjects:
hyperspectral imaging
melanoma
neural networks
deep-learning
machine learning
confusion matrix
principal component analysis
Online Access:https://doi.org/10.1515/jisys-2023-0271
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https://doi.org/10.1515/jisys-2023-0271

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