Hyperspectral Imaging for Enhanced Skin Cancer Classification Using Machine Learning

Hyperspectral Imaging for Enhanced Skin Cancer Classification Using Machine Learning

<b>Objective:</b> The classification of skin cancer is very helpful in its early diagnosis and treatment, considering the complexity involved in differentiating AK from BCC and SK. These conditions are generally not easily detectable due to their comparable clinical presentations. <b&...

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Bibliographic Details
Main Authors: Teng-Li Lin, Arvind Mukundan, Riya Karmakar, Praveen Avala, Wen-Yen Chang, Hsiang-Chen Wang
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Bioengineering
Subjects:
skin cancer
hyperspectral imaging
spectrum-aided vision enhancer
convolutional neural network
yolo
random forest
Online Access:https://www.mdpi.com/2306-5354/12/7/755
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