[PDF][PDF] Deep Learning in Retinal Image Segmentation and Feature Extraction: A Review.
Image recognition and understanding is considered as a remarkable subfield of Artificial
Intelligence (AI). In practice, retinal image data have high dimensionality leading to …
Intelligence (AI). In practice, retinal image data have high dimensionality leading to …
Revealing microstructural modifications of graphene oxide-modified cement via deep learning and nanoporosity mapping: implications for structural materials' …
Locating, characterizing, and understanding the microstructural nanomodifications of
random heterogeneous materials are critical to improve their performance, but current …
random heterogeneous materials are critical to improve their performance, but current …
Retinal image blood vessel extraction and quantification with Euclidean distance transform approach
K Kipli, M Enamul Hoque, L Thai Lim… - IET Image …, 2020 - Wiley Online Library
Image processing applications remarkably contributes to modern ophthalmology. This
technology is designed to analyse the characteristics of the human eye microvasculature …
technology is designed to analyse the characteristics of the human eye microvasculature …
Superpixel-Based Long-Range Dependent Network for High-Resolution Remote-Sensing Image Classification
L Li, L Han, Q Miao, Y Zhang, Y Jing - Land, 2022 - mdpi.com
Data-driven deep neural networks have demonstrated their superiority in high-resolution
remote-sensing image (HRSI) classification based on superpixel-based objects. Currently …
remote-sensing image (HRSI) classification based on superpixel-based objects. Currently …
[PDF][PDF] A Deep Learning Approach for Retinal Image Feature Extraction
Retinal image analysis is crucially important to detect the different kinds of life-threatening
cardiovascular and ophthalmic diseases as human retinal microvasculature exhibits …
cardiovascular and ophthalmic diseases as human retinal microvasculature exhibits …
PERTANIKA JOURNAL OF SOCIAL SCIENCES AND HUMANITIES
Retinal image analysis is crucially important to detect the different kinds of life-threatening
cardiovascular and ophthalmic diseases as human retinal microvasculature exhibits …
cardiovascular and ophthalmic diseases as human retinal microvasculature exhibits …
PERTANIKA JOURNAL OF SCIENCE AND TECHNOLOGY
Retinal image analysis is crucially important to detect the different kinds of life-threatening
cardiovascular and ophthalmic diseases as human retinal microvasculature exhibits …
cardiovascular and ophthalmic diseases as human retinal microvasculature exhibits …