The following link allows accessing to the public database of in-vivo hyperspectral human brain images reported in the paper entitled "In-Vivo Hyperspectral Human Brain Image Database for Brain Cancer Detection", published in the IEEE Access journal:
- Fabelo H., Ortega S., Szolna A., Bulters D., Pineiro J. F., Kabwama S., ... & Ravi D. (2019) In-Vivo Hyperspectral Human Brain Image Database for Brain Cancer Detection. IEEE Access, 7, 39098-39116. https://doi.org/10.1109/ACCESS.2019.2904788
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The following links allow to download the hyperspectral images of in-vivo human brain employed in the paper entitled "Spatio-spectral classification of hyperspectral images for brain cancer detection during surgical operations", published in the Plos One journal:
- Fabelo H, Ortega S, Ravi D, Kiran BR, Sosa C, Bulters D, et al. (2018) Spatio-spectral classification of hyperspectral images for brain cancer detection during surgical operations. PLoS ONE 13(3): e0193721. https://doi.org/10.1371/journal.pone.0193721
Image ID | Spectral Range | Dimensions | Tumor Diagnosis | Link* |
---|---|---|---|---|
0008-1 | VNIR: 400-1000 nm | 1004x1010x826 | Glioblastoma (Grade IV) | Download |
0012-1 | VNIR: 400-1000 nm | 1004x777x826 | Glioblastoma (Grade IV) | Download |
0015-1 | VNIR: 400-1000 nm | 1004x777x826 | Glioblastoma (Grade IV) | Download |
0020-1 | VNIR: 400-1000 nm | 1004x777x826 | Glioblastoma (Grade IV) | Download |
0025-2 | VNIR: 400-1000 nm | 1004x777x826 | Glioblastoma (Grade IV) | Download |
*In order to avoid automatic downloads, please ask for the password to download the images sending an email to hsibraindatabase@iuma.ulpgc.es. Please, include your name, organization and a brief description of your main research lines. Password will be sent to you as soon as possible.