Cargando…
Fully Convolutional Network and Visual Saliency-Based Automatic Optic Disc Detection in Retinal Fundus Images
We present in this paper a novel optic disc detection method based on a fully convolutional network and visual saliency in retinal fundus images. Firstly, we employ the morphological reconstruction-based object detection method to locate the optic disc region roughly. According to the location resul...
Autores principales: | Yu, Xiaosheng, Wang, Ying, Wang, Siqi, Hu, Nan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8424246/ https://www.ncbi.nlm.nih.gov/pubmed/34512935 http://dx.doi.org/10.1155/2021/3561134 |
Ejemplares similares
-
A novel fully convolutional network for visual saliency prediction
por: Ghariba, Bashir Muftah, et al.
Publicado: (2020) -
Automatic Method for Optic Disc Segmentation Using Deep Learning on Retinal Fundus Images
por: Septiarini, Anindita, et al.
Publicado: (2023) -
Automatic detection of retinal regions using fully convolutional networks for diagnosis of abnormal maculae in optical coherence tomography images
por: Sun, Zhongyang, et al.
Publicado: (2019) -
Automatic Optic Disc Detection in Color Retinal Images by Local Feature Spectrum Analysis
por: Zhou, Wei, et al.
Publicado: (2018) -
Automatic optic disc detection in colour fundus images by means of multispectral analysis and information content
por: Martinez-Perez, M. Elena, et al.
Publicado: (2019)