The most relevant spectral ranges found comprise between 440.5–465.96 nm, 498.71–509.62 nm, 556.91–575.1 nm, 593.29–615.12 nm, 636.94–666.05 nm, 698.79–731.53 nm and 884.32–902.51 nm.
The results demonstrate that the proposed methodology based on the genetic algorithm optimization slightly improves the accuracy of the tumor identification ...
Dec 12, 2019 · The work presented in this paper aims to identify such relevant spectral ranges in the visual-and-near-infrared (VNIR) region for an accurate ...
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Hyperspectral imaging (HSI) is a non-ionizing and non-contact imaging technique capable of obtaining more information than conventional RGB (red green blue) ...
Nov 14, 2023 · Most relevant spectral bands identification for brain cancer detection using hyperspectral imaging. Sensors 19, 5481 (2019). Article PubMed ...
Fabelo, et al. Most relevant spectral bands identification for brain cancer detection using hyperspectral imaging. Sensors, 19 (2019), p. 5481. Google Scholar.
Oct 4, 2021 · This identification of the most relevant spectral bands in the NIR range will also allow to increase the spatial resolution of this HS ...
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Most Relevant Spectral Bands Identification for Brain Cancer Detection Using Hyperspectral Imaging by Beatriz Martinez, Raquel Leon, Himar Fabelo,
Most Relevant Spectral Bands Identification for Brain Cancer Detection Using Hyperspectral Imaging. Article. Full-text available. Dec 2019.
Hyperspectral imaging (HSI) is a spectral-based imaging modality that acquires data in almost contiguous narrow spectral bands. HSI systems can collect ...