A multimodal deep learning model for cervical pre-cancers and cancers prediction: Development and internal validation study.

Journal: Computers in biology and medicine
Published Date: Jan 22, 2025

Abstract

BACKGROUND: The current cervical cancer screening and diagnosis have limitations due to their subjectivity and lack of reproducibility. We describe the development of a deep learning (DL)-based diagnostic risk prediction model and evaluate its potential for clinical impact.

Authors

  • Sreenath Madathil
    Faculty of Dental Medicine and Oral Health Sciences, McGill University, Montreal, QC, Canada.
  • Mohamed Dhouib
    École Polytechnique, Institut Polytechnique de Paris, Palaiseau, France.
  • Quitterie Lelong
    École Polytechnique, Institut Polytechnique de Paris, Palaiseau, France.
  • Ahmed Bourassine
    École Polytechnique, Institut Polytechnique de Paris, Palaiseau, France.
  • Joseph Monsonego
    Institute of the Cervix, Paris, France. Electronic address: jmonsonego@orange.fr.

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