IDEAS home Printed from https://ideas.repec.org/a/gam/jdataj/v11y2026i3p62-d1897788.html

HyCervix: In Vivo Hyperspectral Cervix Dataset for Non-Invasive Detection of Precancerous and Cancerous Lesions

Author

Listed:
  • Carlos Vega

    (Research Institute for Applied Microelectronics (IUMA), University of Las Palmas de Gran Canaria (ULPGC), 35017 Las Palmas de Gran Canaria, Spain)

  • Norberto Medina

    (Complejo Hospitalario Universitario Insular-Materno Infantil (CHUIMI), Servicio Canario de Salud (SCS), 35016 Las Palmas de Gran Canaria, Spain)

  • Raquel Leon

    (Research Institute for Applied Microelectronics (IUMA), University of Las Palmas de Gran Canaria (ULPGC), 35017 Las Palmas de Gran Canaria, Spain)

  • Himar Fabelo

    (Research Institute for Applied Microelectronics (IUMA), University of Las Palmas de Gran Canaria (ULPGC), 35017 Las Palmas de Gran Canaria, Spain
    Fundación Canaria Instituto de Investigación Sanitaria de Canarias (FIISC), 35019 Las Palmas de Gran Canaria, Spain
    Research Unit, Hospital Universitario de Gran Canaria Doctor Negrin, 35019 Las Palmas de Gran Canaria, Spain
    Instituto de Investigación Sanitaria de Canarias (IISC), 35019 Las Palmas de Gran Canaria, Spain)

  • Alicia Martín

    (Complejo Hospitalario Universitario Insular-Materno Infantil (CHUIMI), Servicio Canario de Salud (SCS), 35016 Las Palmas de Gran Canaria, Spain)

  • Gustavo M. Callico

    (Research Institute for Applied Microelectronics (IUMA), University of Las Palmas de Gran Canaria (ULPGC), 35017 Las Palmas de Gran Canaria, Spain)

Abstract

Hyperspectral (HS) imaging has emerged as a promising tool for improving the non-invasive detection of different diseases, offering spatial and spectral information in a single imaging modality. In this work, we present a dataset of HS images of the in vivo human cervix, including different precancerous and cancerous lesions. The dataset comprises 77 HS images acquired from 77 patients during routine colposcopic examination. All images were captured using a clinical colposcope equipped with an HS camera, covering the spectral range from 470 to 900 nm. Each HS image is accompanied by detailed pixel-level annotations for different clinically relevant tissue classes: ectocervix, endocervix, cervical intraepithelial neoplasia lesions, and invasive carcinoma. These labels were established through expert colposcopic assessment and confirmed by cytology or biopsy. The dataset contains clinical data from these patients, including demographic information, colposcopy and biopsy findings, and clinical diagnoses.

Suggested Citation

  • Carlos Vega & Norberto Medina & Raquel Leon & Himar Fabelo & Alicia Martín & Gustavo M. Callico, 2026. "HyCervix: In Vivo Hyperspectral Cervix Dataset for Non-Invasive Detection of Precancerous and Cancerous Lesions," Data, MDPI, vol. 11(3), pages 1-13, March.
    • Handle: RePEc:gam:jdataj:v:11:y:2026:i:3:p:62-:d:1897788
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2306-5729/11/3/62/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2306-5729/11/3/62/
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jdataj:v:11:y:2026:i:3:p:62-:d:1897788. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager The email address of this maintainer does not seem to be valid anymore. Please ask MDPI Indexing Manager to update the entry or send us the correct address (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.