Automated corneal endothelium image segmentation in the presence of cornea guttata via convolutional neural networks

Automated cell counting in in-vivo specular microscopy images is challenging, especially in situations where single-cell segmentation methods fail due to pathological conditions. This work aims to obtain reliable cell segmentation from specular microscopy images of both healthy and pathological corn...

Full description

Autores:

Sierra, Juan S.
Pineda, Jesus
Viteri, Eduardo
Rueda, Daniela
Tibaduiza, Beatriz
Berrospi, Rúben D.
Tello, Alejandro
Galvis, Virgilio
Volpe, Giovanni
Millán, María S.
Romero, Lenny 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:20.500.12585/9561

Acceso en línea:

https://hdl.handle.net/20.500.12585/9561
https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11511/115110H/Automated-corneal-endothelium-image-segmentation-in-the-presence-of-cornea/10.1117/12.2569258.short?SSO=1

Palabra clave:

Cell segmentation
Ophthalmic imaging
Diagnosis through images
Image processing

Rights

closedAccess

License

http://purl.org/coar/access_right/c_14cb