<italic>In-Vivo</italic> Hyperspectral Human Brain Image Database for Brain Cancer Detection

<italic>In-Vivo</italic> Hyperspectral Human Brain Image Database for Brain Cancer Detection

The use of hyperspectral imaging for medical applications is becoming more common in recent years. One of the main obstacles that researchers find when developing hyperspectral algorithms for medical applications is the lack of specific, publicly available, and hyperspectral medical data. The work d...

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Bibliographic Details
Main Authors: Himar Fabelo, Samuel Ortega, Adam Szolna, Diederik Bulters, Juan F. Pineiro, Silvester Kabwama, Aruma J-O'Shanahan, Harry Bulstrode, Sara Bisshopp, B. Ravi Kiran, Daniele Ravi, Raquel Lazcano, Daniel Madronal, Coralia Sosa, Carlos Espino, Mariano Marquez, Maria De La Luz Plaza, Rafael Camacho, David Carrera, Maria Hernandez, Gustavo M. Callico, Jesus Morera Molina, Bogdan Stanciulescu, Guang-Zhong Yang, Ruben Salvador Perea, Eduardo Juarez, Cesar Sanz, Roberto Sarmiento
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Hyperspectral imaging
cancer detection
biomedical imaging
medical diagnostic imaging
image databases
Online Access:https://ieeexplore.ieee.org/document/8667294/

Internet

https://ieeexplore.ieee.org/document/8667294/

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