[HTML][HTML] Machine learning methods for sign language recognition: A critical review and analysis
Sign language is an essential tool to bridge the communication gap between normal and
hearing-impaired people. However, the diversity of over 7000 present-day sign languages …
hearing-impaired people. However, the diversity of over 7000 present-day sign languages …
Object detection using deep learning, CNNs and vision transformers: A review
Detecting objects remains one of computer vision and image understanding applications'
most fundamental and challenging aspects. Significant advances in object detection have …
most fundamental and challenging aspects. Significant advances in object detection have …
Retinal vessel segmentation using deep learning: a review
This paper presents a comprehensive review of retinal blood vessel segmentation based on
deep learning. The geometric characteristics of retinal vessels reflect the health status of …
deep learning. The geometric characteristics of retinal vessels reflect the health status of …
Distributed parallel deep learning with a hybrid backpropagation-particle swarm optimization for community detection in large complex networks
In this paper, a parallel deep learning-based community detection method in large complex
networks (CNs) is proposed. First, a CN partitioning method is employed to divide the CN …
networks (CNs) is proposed. First, a CN partitioning method is employed to divide the CN …
[HTML][HTML] Parameter selection for CLAHE using multi-objective cuckoo search algorithm for image contrast enhancement
Contrast enhancement techniques that are proposed in the literature are devised to
enhance image quality so as to provide better details for different image processing tasks …
enhance image quality so as to provide better details for different image processing tasks …
Interactive blood vessel segmentation from retinal fundus image based on canny edge detector
Optometrists, ophthalmologists, orthoptists, and other trained medical professionals use
fundus photography to monitor the progression of certain eye conditions or diseases …
fundus photography to monitor the progression of certain eye conditions or diseases …
Retinal disease prediction through blood vessel segmentation and classification using ensemble-based deep learning approaches
Automatic detection of retinal diseases is found to be more challenging and gaining
considerable attention in the recent years. The visual impairments are emerging in different …
considerable attention in the recent years. The visual impairments are emerging in different …
Automated diagnostic classification of diabetic retinopathy with microvascular structure of fundus images using deep learning method
Multi-class classification is a major concern in the research field, especially in medical
image analysis. This work proposes a novel method for automatically segmenting the blood …
image analysis. This work proposes a novel method for automatically segmenting the blood …
Systematic development of AI-Enabled diagnostic systems for glaucoma and diabetic retinopathy
K Aurangzeb, R Alharthi, SI Haider, M Alhussein - IEEE Access, 2023 - ieeexplore.ieee.org
With the rapid advancements in artificial intelligence, particularly in machine learning and
deep learning, automated disease diagnosis is becoming increasingly feasible. Generating …
deep learning, automated disease diagnosis is becoming increasingly feasible. Generating …
Diabetic retinopathy and diabetic macular edema detection using ensemble based convolutional neural networks
S Sundaram, M Selvamani, SK Raju, S Ramaswamy… - Diagnostics, 2023 - mdpi.com
Diabetic retinopathy (DR) and diabetic macular edema (DME) are forms of eye illness
caused by diabetes that affects the blood vessels in the eyes, with the ground occupied by …
caused by diabetes that affects the blood vessels in the eyes, with the ground occupied by …