Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/121431
Title: Development of a Hyperspectral Colposcope for Early Detection and Assessment of Cervical Dysplasia
Authors: Vega García, Carlos 
León Martín, Sonia Raquel 
Ojeda Medina, Norberto Arminio 
Fabelo Gómez, Himar Antonio 
Ortega Sarmiento,Samuel 
Balea-Fernández, Francisco Javier 
García del Toro, Aday 
Medina Castellano, Margarita Jesús 
León Socorro, Silvia Del Pino De 
Martín Martínez, Alicia 
Marrero Callicó, Gustavo Iván 
UNESCO Clasification: Investigación
Keywords: Cervical cancer
Cervical intraepithelial neoplasia (CIN)
Hyperspectral imaging instrumentation
Image processing
Issue Date: 2022
Publisher: Institute of Electrical and Electronics Engineers Inc.
Conference: 25th Euromicro Conference on Digital System Design (DSD 2022) 
Abstract: The early detection of precancerous cervical lesions is essential to improve patient treatment and prognosis. Current methods of screening and diagnosis have improved the detection of these lesions but still present some critical limitations. Hyperspectral (HS) imaging is emerging as a new non-invasive and label-free imaging technique in the medical field for performing quick diagnosis of different diseases. This work describes the first step in the research and development process to present to the gynaecologist a new non-invasive tool to detect cervical neoplasia during routine medical procedures. This tool is based on a HS camera coupled to a colposcope, a primary tool already used in cervical examinations. The developed HS colposcope was validated by comparing the HS images obtained against the captures obtained with conventional optics. Results show the feasibility of the developed system to start a data acquisition campaign of cervical lesions targeting future developments of algorithms based on artificial intelligence.
URI: http://hdl.handle.net/10553/121431
ISBN: 9781665474047
DOI: 10.1109/DSD57027.2022.00121
Source: Proceedings - 2022 25th Euromicro Conference on Digital System Design, DSD 2022 / Himar Fabelo, Samuel Ortega, Amund Skavhaug (Eds.), p. 863-870
Appears in Collections:Actas de congresos
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