Search
Search Results
-
U-Net with Hierarchical Bottleneck Attention for Landmark Detection in Fundus Images of the Degenerated Retina
Fundus photography has routinely been used to document the presence and severity of retinal degenerative diseases such as age-related macular...
-
Promoting Animation Synthesis Through Dual-Channel Fusion
Although animation synthesis technology is widely applied, it also imposes higher demands on the precision of the synthesized animation. This paper...
-
Computer-Aided Diabetic Retinopathy Diagnosis Using Conventional and Deep Learning Techniques—A Comparison
Diabetes mellitus, widely called diabetes, is a metabolic disorder that results in high glucose (blood sugar) level because of the inadequate...
-
Microaneurysms detection using fundus images based on deep convolutional neural network enabled fractional hunter osprey optimization
Diabetic Retinopathy (DR) is one of the foremost reasons for poor eyesight in the modern globe. An earlier detection of DR is vital in offering...
-
Introduction to Robotics: Part I
This chapter covers the following topics:
-
RETRACTED ARTICLE: A method of progression detection for glaucoma using K-means and the GLCM algorithm toward smart medical prediction
Diabetes mellitus is one of the leading medical issues, causing national financial weight and low personal satisfaction. People with diabetes have an...
-
Node Scheduling for Localization in Heterogeneous Software-Defined Wireless Sensor Networks
In this paper, a node scheduling scheme for localization in heterogeneous software-defined wireless sensor networks (SD-WSNs) is proposed. An...
-
Identification of glaucoma in fundus images utilizing gray wolf optimization with deep convolutional neural network-based resnet50 model
The main objective of this research is to explore and predict the potentiality of the image analysis model for early detection and diagnosis of...
-
Hybrid feature vector based detection of Glaucoma
This paper focus on the investigation of the potential in retinal image analysis for the detection of Glaucoma. The computer-based analysis of the...
-
A diagnosis model for detection and classification of diabetic retinopathy using deep learning
Diabetes mellitus (DM) is an immense progressive disease that affects the usage of blood glucose as energy, resulting in surplus glucose in the...
-
Deep dive in retinal fundus image segmentation using deep learning for retinopathy of prematurity
Segmentation of retinal structures, namely optic disc, vessel, demarcation line, and ridge, is essential for describing the characteristics of...
-
DC-Gnet for detection of glaucoma in retinal fundus imaging
Glaucoma is a retinal disease caused due to increased intraocular pressure in the eyes. It is the second most dominant cause of irreversible...
-
Exploring Artificial Intelligence Methods for the Automatic Measurement of a New Biomarker Aiming at Glaucoma Diagnosis
Using technologies capable of providing retina structure high-resolution images is one of the most widespread means of identifying structural changes...
-
DTN-MTLF: A dual-teacher network based multi-task learning framework for unbiased glaucoma diagnosis
Glaucoma is a chronic progressive optic neuropathy that is the leading cause of irreversible blindness worldwide. Develo** precise automatic...
-
Pupil detection schemes in human eye: a review
Pupil detection in a human eyeimage or video plays a key role in many applications such as eye-tracking, diabetic retinopathy screening, smart homes,...
-
Recent developments on computer aided systems for diagnosis of diabetic retinopathy: a review
Diabetes is a long-term condition in which the pancreas quits producing insulin or the body’s insulin isn’t utilised properly. One of the signs of...
-
Cascaded Pyramid Mining Network for Weakly Supervised Temporal Action Localization
Weakly supervised temporal action localization, which aims at temporally locating action instances in untrimmed videos using only video-level class...
-
A Modified BiSeNet for Spinal Segmentation
Multi-class segmentation of vertebrae and intervertebral discs is of paramount importance for accurate diagnosis and treatment of various spinal...
-
A three-stage novel framework for efficient and automatic glaucoma classification from retinal fundus images
Glaucoma is one of the leading causes of visual impairment worldwide. If diagnosed too late, the disease can irreversibly cause severe damage to the...
