Self-supervised Deep-Learning Segmentation of Corneal Endothelium Specular Microscopy Images

Sergio Sanchez, Kevin Mendoza, Fernando Quintero, Angelica M. Prada, Alejandro Tello, Virgilio Galvis, Lenny A. Romero, Andres G. Marrugo

Research output: Book / Book Chapter / ReportResearch Bookspeer-review

Abstract

Computerized medical evaluation of the corneal endothelium is challenging because it requires costly equipment and specialized personnel, not to mention that conventional techniques require manual annotations that are difficult to acquire. This study aims to obtain reliable segmentations without requiring large data sets labeled by expert personnel. To address this problem, we use the Barlow Twins approach to pre-train the encoder of a UNet model in an unsupervised manner. Then, with few labeled data, we train the segmentation. Encouraging results show that it is possible to address the challenge of limited data availability using self-supervised learning. This model achieved a precision of 86%, obtaining a satisfactory performance. Using many images to learn good representations and a few labeled images to learn the semantic segmentation task is feasible.

Original languageEnglish
Title of host publicationApplications of Computational Intelligence - 6th IEEE Colombian Conference, ColCACI 2023, Revised Selected Papers
EditorsAlvaro David Orjuela-Cañón, Jesus A Lopez, Julián David Arias-Londoño
PublisherSpringer Science and Business Media Deutschland GmbH
Pages30-42
Number of pages13
ISBN (Print)9783031484148
DOIs
StatePublished - 2024
Event6th IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2023 - Bogota, Colombia
Duration: 26 Jul 202328 Jul 2023

Publication series

NameCommunications in Computer and Information Science
Volume1865 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference6th IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2023
Country/TerritoryColombia
CityBogota
Period26/07/2328/07/23

Keywords

  • Self-supervised
  • corneal endothelium
  • deep learning
  • segmentation

Fingerprint

Dive into the research topics of 'Self-supervised Deep-Learning Segmentation of Corneal Endothelium Specular Microscopy Images'. Together they form a unique fingerprint.

Cite this