Self-supervised Deep-Learning Segmentation of Corneal Endothelium Specular Microscopy Images
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 req...
- Autores:
-
Sanchez, Sergio
Quintero, Fernando J.
Mendoza, Kevin
Prada, Prada
Tello, Alejandro
Galvis, Virgilio
Marrugo Hernández, Andrés Guillermo
Romero Pérez, Lenny Alexandra
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2023
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/12633
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/12633
- Palabra clave:
- Training
Semantic segmentation
Microscopy
Self-supervised learning
Data models
Personnel
LEMB
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-sa/4.0/