HSI Database
The link below allows to download HS Plastic database reported in the paper entitled "VNIR - NIR Hyperspectral Imaging Fusion Targeting Intraoperative Brain Cancer Detection", published in the Scientific Reports journal:
- Leon, R., Fabelo, H., Ortega, S. et al. VNIR – NIR hyperspectral imaging fusion targeting intraoperative brain cancer detection. Sci Rep 11, 19696 (2021). https://doi.org/10.1038/s41598-021-99220-0
The link below allows to download the Focus Assessment database employed in:
"Blur-Specific Image Quality Assessment of Microscopic Hyperspectral Images", published in the Optics Express journal:- L. Quintana, S. Ortega, H. Fabelo, F. Balea-Fernández and G. M. Callico. Blur-Specific Image Quality Assessment of Microscopic Hyperspectral Images. Opt. Express, https://doi.org/10.1364/OE.476949
"Blur-Specific No-Reference Image Quality Assesment for Microscopic Hyperspectral Image Focus Quantification", presented at WHISPERS 2021 and indexed in the IEEE Xplorer:- L. Quintana, S. Ortega, H. Fabelo and G. M. Callico, "Blur-Specific No-Reference Image Quality Assesment for Microscopic Hyperspectral Image Focus Quantification," 2021 11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2021, pp. 1-5, https://doi.org/10.1109/WHISPERS52202.2021.9483992
The link below allows to download the HS Dermatologic database employed in:
"Neural Networks-Based On-Site Dermatologic Diagnosis through Hyperspectral Epidermal Images", published in the Sensors journal:
- La Salvia, M.; Torti, E.; Leon, R.; Fabelo, H.; Ortega, S.; Balea-Fernandez, F.; Martinez-Vega, B.; Castaño, I.; Almeida, P.; Carretero, G.; Hernandez, J.A.; Callico, G.M.; Leporati, F. Neural Networks-Based On-Site Dermatologic Diagnosis through Hyperspectral Epidermal Images. Sensors 2022, 22, 7139. https://doi.org/10.3390/s22197139
"Non-Invasive Skin Cancer Diagnosis Using Hyperspectral Imaging for In-Situ Clinical Support", published in the Journal of Clinical Medicine:
- Leon, R.; Martinez-Vega, B.; Fabelo, H.; Ortega, S.; Melian, V.; Castaño, I.; Carretero, G.; Almeida, P.; Garcia, A.; Quevedo, E.; Hernandez, J.A.; Clavo, B.; M. Callico, G. Non-Invasive Skin Cancer Diagnosis Using Hyperspectral Imaging for In-Situ Clinical Support. J. Clin. Med. 2020, 9, 1662. https://doi.org/10.3390/jcm9061662
The link below allows to access to the HSI Human Brain database employed in:
" 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. In-Vivo Hyperspectral Human Brain Image Database for Brain Cancer Detection. IEEE Access, 7, 39098-39116. https://doi.org/10.1109/ACCESS.2019.2904788
"Hyperspectral Imaging Benchmark based on Machine Learning for Intraoperative Brain Tumour Detection", published in npj Precision Oncology:
- Leon, R., Fabelo, H., Ortega, S. et al. Hyperspectral imaging benchmark based on machine learning for intraoperative brain tumour detection. npj Precis. Onc. 7, 119 (2023) https://doi.org/10.1038/s41698-023-00475-9
*In order to avoid automatic downloads, please ask for the password to download the images sending an email to hsidatabase@iuma.ulpgc.es. Please, specify the database name and include your name, organization, and a brief description of your main research lines. Password will be sent to you as soon as possible.
*Petitions to download the HSI Human Brain Database will be attended in this link.