[HTML][HTML] A comprehensive survey on emerging assistive technologies for visually impaired persons: lighting the path with visible light communications and artificial …
In the context in which severe visual impairment significantly affects human life, this article
emphasizes the potential of Artificial Intelligence (AI) and Visible Light Communications …
emphasizes the potential of Artificial Intelligence (AI) and Visible Light Communications …
Wavelet scattering transform application in classification of retinal abnormalities using OCT images
To assist ophthalmologists in diagnosing retinal abnormalities, Computer Aided Diagnosis
has played a significant role. In this paper, a particular Convolutional Neural Network based …
has played a significant role. In this paper, a particular Convolutional Neural Network based …
Redundancy reduced depthwise separable convolution for glaucoma classification using OCT images
Glaucoma is a chronic progressive optic neuropathy characterized by the impairment of the
optic nerve, and if it is left untreated, it may lead to irreversible vision loss. So, the early …
optic nerve, and if it is left untreated, it may lead to irreversible vision loss. So, the early …
Distinctions between Choroidal Neovascularization and Age Macular Degeneration in Ocular Disease Predictions via Multi-Size Kernels ξcho-Weighted Median …
Age-related macular degeneration is a visual disorder caused by abnormalities in a part of
the eye's retina and is a leading source of blindness. The correct detection, precise location …
the eye's retina and is a leading source of blindness. The correct detection, precise location …
A Comprehensive Survey on Detection of Ocular and Non-Ocular diseases using Color Fundus Images
M Gupta, S Gupta, G Palanisamy, JS Nisha… - IEEE …, 2024 - ieeexplore.ieee.org
This study examines the application of color fundus imaging for detecting both ocular and
non-ocular diseases using recent advancements in machine learning techniques. Fundus …
non-ocular diseases using recent advancements in machine learning techniques. Fundus …
Early diagnosis of Alzhiemer's disease using wavelet-pooling based deep convolutional neural network
Coronal anatomic slices of structural MRI images clearly show the topographical structures
of the Hippocampus and Amygdala, which are essential for early diagnosis of Alzheimer's …
of the Hippocampus and Amygdala, which are essential for early diagnosis of Alzheimer's …
Research on an artificial intelligence-based myopic maculopathy grading method using EfficientNet
B Zheng, M Zhang, S Zhu, M Wu, L Chen… - Indian journal of …, 2024 - journals.lww.com
Purpose: We aimed to develop an artificial intelligence-based myopic maculopathy grading
method using EfficientNet to overcome the delayed grading and diagnosis of different …
method using EfficientNet to overcome the delayed grading and diagnosis of different …
Automatic Screening System to Distinguish Benign/Malignant Breast-Cancer Histology Images Using Optimized Deep and Handcrafted Features
Y Yang - International Journal of Computational Intelligence …, 2023 - Springer
Breast Cancer (BC) has been increasing in incidence among women for a variety of
reasons, and prompt detection and management are essential to reducing mortality rates. In …
reasons, and prompt detection and management are essential to reducing mortality rates. In …
Alpha mean trim texture descriptors for optical coherence tomography eye classification
Accurate ocular disorder classification and estimation of cornea depth and morphological
changes depends on clear imaging of the affected structures. Ophthalmologists typically …
changes depends on clear imaging of the affected structures. Ophthalmologists typically …
Ensemble learning for retinal disease recognition under limited resources
J Wang, H Peng, S Chen, S Ren - Medical & Biological Engineering & …, 2024 - Springer
Retinal optical coherence tomography (OCT) images provide crucial insights into the health
of the posterior ocular segment. Therefore, the advancement of automated image analysis …
of the posterior ocular segment. Therefore, the advancement of automated image analysis …