Diagnosis of odontogenic keratocysts and non-keratocysts using edge attention convolution neural network.

Journal: Minerva dental and oral science
Published Date: Sep 27, 2024

Abstract

BACKGROUND: The study's objective was to develop an automated method for a histopathology recognition model for odontogenic keratocysts (OKC) and non-keratocyst (Non-KC) in jaw cyst sections stained with hematoxylin (H) and eosin (E) on a tiny bit of incisional biopsy prior to surgery.

Authors

  • Nivedan Yakolli
    Department of Computer Science and Engineering, Faculty of Engineering and Technology, Ramaiah University of Applied Sciences, Bengaluru, India.
  • Divya B Shivanna
    Department of Computer Science and Engineering, Faculty of Engineering and Technology, Ramaiah University of Applied Sciences, Bengaluru, India.
  • Roopa S Rao
    Professor and Head Department of Oral Pathology and Microbiology Faculty of Dental Sciences MS Ramaiah University of Applied Sciences Bengaluru, Karnataka, India.
  • Shankargouda Patil
    College of Dental Medicine, Roseman University of Health Sciences, South Jordan, UT, United States.
  • Vincenzo Ronsivalle
    Department of Orthodontics, School of Dentistry, University of Catania, Catania, Italy.
  • Marco Cicciù
    Department of Biomedical and Surgical and Biomedical Sciences, Catania University, 95123, Catania, CT, Italy.
  • Giuseppe Minervini
    Saveetha Dental College & Hospitals, Saveetha Institute of Medical & Technical Sciences, Saveetha University, Chennai, India. Giuseppe.minervini@unicampania.it.

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