Cargando…
Deep Learning Approach for Automatic Microaneurysms Detection
In diabetic retinopathy (DR), the early signs that may lead the eyesight towards complete vision loss are considered as microaneurysms (MAs). The shape of these MAs is almost circular, and they have a darkish color and are tiny in size, which means they may be missed by manual analysis of ophthalmol...
Autores principales: | Mateen, Muhammad, Malik, Tauqeer Safdar, Hayat, Shaukat, Hameed, Musab, Sun, Song, Wen, Junhao |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8781897/ https://www.ncbi.nlm.nih.gov/pubmed/35062506 http://dx.doi.org/10.3390/s22020542 |
Ejemplares similares
-
Automatic Microaneurysms Detection Based on Multifeature Fusion Dictionary Learning
por: Zhou, Wei, et al.
Publicado: (2017) -
Automatic Detection of Microaneurysms in Fundus Images Using an Ensemble-Based Segmentation Method
por: Raudonis, Vidas, et al.
Publicado: (2023) -
Automatic detection of microaneurysms in optical coherence tomography images of retina using convolutional neural networks and transfer learning
por: Almasi, Ramin, et al.
Publicado: (2022) -
AOSLO-net: A Deep Learning-Based Method for Automatic Segmentation of Retinal Microaneurysms From Adaptive Optics Scanning Laser Ophthalmoscopy Images
por: Zhang, Qian, et al.
Publicado: (2022) -
Fundus images analysis using deep features for detection of exudates, hemorrhages and microaneurysms
por: Khojasteh, Parham, et al.
Publicado: (2018)