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Title: Hyperspectral imaging for cancer applications
Authors: Cruz-Guerrero, Ines A.
León, Raquel 
Mejía-Rodríguez, Aldo Rodrigo
Campos-Delgado, Daniel Ulises
Fabelo, Himar 
Ortega, Samuel 
Callicó, Gustavo M. 
UNESCO Clasification: 3314 Tecnología médica
Issue Date: 2023
Journal: Diagnosis And Treatment Of Cancer Using Thermal Therapies: Minimal And Non-Invasive Techniques
Abstract: Hyperspectral imaging (HSI) is a well-established technique in remote sensing that has been successfully translated into the medical field, especially for diagnosis and guided surgery. HS images are composed of spatial and spectral information, which are merged together into a three-dimensional array. Hence, the spectral information makes it possible to discriminate, at pixel level, the materials present in the captured scene according to their reflectance. Furthermore, one key advantage is that HIS is a contactless, non-ionizing, non-labeled, and non-invasive technology. In the medical area, HSI has been proposed for the detection of various types of tumor tissues in cancer diagnosis. Thus, this chapter presents a review of HSI for detecting and evaluating various types of cancer. First, the main types of HSI technologies and instrumentation in the medical field are described. The analysis algorithms based on spectral unmixing and artificial intelligence are discussed. Finally, the state of the art in applications of HSI for skin, brain, gastrointestinal, head & neck cancer and in histological samples for tumor detection are presented in this work.
ISBN: 9781000986655
Source: Diagnosis and Treatment of Cancer using Thermal Therapies: Minimal and Non-invasive Techniques[EISSN ], p. 81-101, (Octubre 2023)
Appears in Collections:Capítulo de libro
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