Generating density maps for convolutional neural network-based cell counting in specular microscopy images
Accurate endothelial cell density with specular microscopy is essential for correct clinical assessment of the cornea. Commercial specular microscopes incorporate automated cell segmentation methods to estimate cell density. However, these methods are prone to false cell detections in pathological c...
- Autores:
-
Sierra, J S
Pineda, J
Viteri, E
Tello, Alejandro
Millán, M S
Galvis, V
Romero, L A
Marrugo Hernández, Andrés Guillermo
- Tipo de recurso:
- Fecha de publicación:
- 2020
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/9390
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/9390
https://iopscience.iop.org/article/10.1088/1742-6596/1547/1/012019/meta
- Palabra clave:
- Microscopios especulares
Células en córneas
Densidad celular automatizada
Software
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc/4.0/