Segmentation of OCT and OCT-A Images using Convolutional Neural Networks.

Segmentation is vital in Optical Coherence Tomography Angiography (OCT-A) images. The separation and distinction of the different parts that build the macula simplify the subsequent detection of observable patterns/illnesses in the retina. In this work, we carried out multi-class image segmentation...

Descripción completa

Detalles Bibliográficos

Publicado en:	Revista Mexicana de Ingeniería Biomédica Vol. 43; no. 3; pp. 15 - 25
Autores principales:	Cisneros-Guzmán, Fernanda, Toledano-Ayala, Manuel, Tovar-Arriaga, Saúl, Rivas-Araiza, Edgar A.
Formato:	Artículo
Publicado:	Sociedad Mexicana de Ingenieria Biomedica, A.C. Sep-Dec2022
Materias:	Optical coherence tomography Convolutional neural networks Blood vessels Macula lutea Image segmentation
Acceso en línea:	Ver este registro en EBSCOhost