Outputs (31)

An integrated approach for understanding global earthquake patterns and enhancing seismic risk assessment (2024)
Journal Article

Earthquakes, as intricate natural phenomena, profoundly impact lives, infrastructure, and the environment. While previous research has explored earthquake patterns through data analysis methods, there has been a gap in examining the time intervals be... Read More about An integrated approach for understanding global earthquake patterns and enhancing seismic risk assessment.

Real-Time Lumen Detection for Autonomous Colonoscopy (2022)
Conference Proceeding

Lumen detection and tracking in the large bowel is a key prerequisite step for autonomous navigation of endorobots for colonoscopy. Attempts at detecting and tracking the lumen so far have been made using optical flow and shape-from-shading technique... Read More about Real-Time Lumen Detection for Autonomous Colonoscopy.

A systematic rank of smart training environment applications with motor imagery brain-computer interface (2022)
Journal Article

Brain-Computer Interface (BCI) research is considered one of the significant interdisciplinary fields. It assists people with severe motor disabilities to recover and improve their motor actions through rehabilitation sessions using Motor Imagery (MI... Read More about A systematic rank of smart training environment applications with motor imagery brain-computer interface.

A Comparision of Node Detection Algorithms Over Wireless Sensor Network (2022)
Journal Article

MANET is standing for Network as Mobile Ad-hoc which is a self-directed mobile handlers group which communicates over relatively bandwidth constrained wireless channels. Many services with different classes of Quality of Services (QoS) could be provi... Read More about A Comparision of Node Detection Algorithms Over Wireless Sensor Network.

Attention Mechanism Guided Deep Regression Model for Acne Severity Grading (2022)
Journal Article

Acne vulgaris is the common form of acne that primarily affects adolescents, characterised by an eruption of inflammatory and/or non-inflammatory skin lesions. Accurate evaluation and severity grading of acne play a significant role in precise treatm... Read More about Attention Mechanism Guided Deep Regression Model for Acne Severity Grading.

Vehicular Networks Performance Evaluation Based on Downlink Scheduling Algorithms for High-Speed Long Term Evolution – Vehicle (2021)
Journal Article

Moving is the key to modern life. Most things are in moving such as vehicles and user mobiles, so the need for high-speed wireless networks to serve the high demand of the wireless application becomes essential for any wireless network design. The us... Read More about Vehicular Networks Performance Evaluation Based on Downlink Scheduling Algorithms for High-Speed Long Term Evolution – Vehicle.

Deep Learning Models for Automatic Makeup Detection (2021)
Journal Article

Makeup can disguise facial features, which results in degradation in the performance of many facial-related analysis systems, including face recognition, facial landmark characterisation, aesthetic quantification and automated age estimation methods.... Read More about Deep Learning Models for Automatic Makeup Detection.

Benchmarking of deep learning algorithms for skin cancer detection based on a hybrid framework of entropy and VIKOR techniques (2021)
Journal Article

A Comprehensive Evaluation and Benchmarking of Convolutional Neural Networks for Melanoma Diagnosis (2021)
Journal Article

Melanoma is the most invasive skin cancer with the highest risk of death. While it is a serious skin cancer, it is highly curable if detected early. Melanoma diagnosis is difficult, even for experienced dermatologists, due to the wide range of morpho... Read More about A Comprehensive Evaluation and Benchmarking of Convolutional Neural Networks for Melanoma Diagnosis.

Enhancement of medical images using fuzzy logic (2021)
Journal Article

Image enhancement is one of the most critical subjects in computer vision and image processing fields. It can be considered as means to enrich the perception of images for human viewers. All kinds of images typically suffer from different problems su... Read More about Enhancement of medical images using fuzzy logic.

Systematic review of training environments with motor imagery brain–computer interface: Coherent taxonomy, open issues and recommendation pathway solution (2021)
Journal Article

The brain–computer interface (BCI) technique represents one of the furthermost active interdisciplinary study domains and includes a wide knowledge spectrum from a different disciplines such as medicine, neuroscience, machine learning and rehabilitat... Read More about Systematic review of training environments with motor imagery brain–computer interface: Coherent taxonomy, open issues and recommendation pathway solution.

Integrated Multi-Model Face Shape and Eye Attributes Identification for Hair Style and Eyelashes Recommendation (2021)
Journal Article

Identifying human face shape and eye attributes is the first and most vital process before applying for the right hairstyle and eyelashes extension. The aim of this research work includes the development of a decision support program to constitute an... Read More about Integrated Multi-Model Face Shape and Eye Attributes Identification for Hair Style and Eyelashes Recommendation.

Multi-Criteria Decision Support System for Lung Cancer Prediction (2021)
Conference Proceeding

Abstract Lung cancer is one of the most common deadly malignant tumours, with the most rapid morbidity and death worldwide. Cancer risk prediction is a challenging and complex task in the field of healthcare. Many studies have been carried out by res... Read More about Multi-Criteria Decision Support System for Lung Cancer Prediction.

Improving Fetal Head Contour Detection by Object Localisation with Deep Learning (2020)
Book Chapter

Seven-Point Checklist with Convolutional Neural Networks for Melanoma Diagnosis (2019)
Conference Proceeding

Reliable skin lesion detection is an important pre-requisite for melanoma and other skin diseases diagnosis. Existing melanoma assessment models consider either pattern analysis methods or seven-point checklist criteria to investigate skin lesion. Ho... Read More about Seven-Point Checklist with Convolutional Neural Networks for Melanoma Diagnosis.

Hybrid Feature Learning and Engineering Based Approach for Face Shape Classification (2019)
Presentation / Conference

Correction: Accurate, fast, data efficient and interpretable glaucoma diagnosis with automated spatial analysis of the whole cup to disc profile (2019)
Journal Article

Accurate, fast, data efficient and interpretable glaucoma diagnosis with automated spatial analysis of the whole cup to disc profile (2019)
Journal Article

Glaucoma is the leading cause of irreversible blindness worldwide. It is a heterogeneous group of conditions with a common optic neuropathy and associated loss of peripheral vision. Both over and under-diagnosis carry high costs in terms of healthcar... Read More about Accurate, fast, data efficient and interpretable glaucoma diagnosis with automated spatial analysis of the whole cup to disc profile.

Improving the resolution of retinal OCT with deep learning (2018)
Book

Dense Fully Convolutional Segmentation of the Optic Disc and Cup in Colour Fundus for Glaucoma Diagnosis (2018)
Journal Article

A Novel Choroid Segmentation Method for Retinal Diagnosis Using Deep Learning (2018)
Conference Proceeding

Automatic Detection and Distinction of Retinal Vessel Bifurcations and Crossings in Colour Fundus Photography (2018)
Journal Article

The analysis of retinal blood vessels present in fundus images, and the addressing of problems such as blood clot location, is important to undertake accurate and appropriate treatment of the vessels. Such tasks are hampered by the challenge of accur... Read More about Automatic Detection and Distinction of Retinal Vessel Bifurcations and Crossings in Colour Fundus Photography.

Automated glaucoma diagnosis using deep learning approach (2017)
Conference Proceeding

Glaucoma is one of the common causes of blindness worldwide. It leads to deterioration in vision and quality of life if it is not cured early. This paper addresses the feasibility of developing an automatic feature learning technique for detecting gl... Read More about Automated glaucoma diagnosis using deep learning approach.

Multiscale sequential convolutional neural networks for simultaneous detection of fovea and optic disc (2017)
Journal Article

Fast blur detection and parametric deconvolution of retinal fundus images (2017)
Conference Proceeding

Blur is a significant problem in medical imaging which can hinder diagnosis and prevent further automated or manual processing. The problem of restoring an image from blur degradation remains a challenging task in image processing. Semi-blind deblurr... Read More about Fast blur detection and parametric deconvolution of retinal fundus images.

Computer aided diagnosis of age-related macular degeneration in 3D OCT images by deep learning (2017)
Conference Proceeding

Purpose : Three-dimensional (3D) optical coherence tomography (OCT) images are increasingly used in the management of eye disease, yet there has been no corresponding increase in the availability of software tools to support the analysis of large amo... Read More about Computer aided diagnosis of age-related macular degeneration in 3D OCT images by deep learning.

Automatic Feature Learning Method for Detection of Retinal Landmarks (2017)
Conference Proceeding

This paper presents an automatic deep learning method for location detection of important retinal landmarks, the fovea and optic disc (OD) in digital fundus retinal images with the potential for use in an automated screening and grading system. The p... Read More about Automatic Feature Learning Method for Detection of Retinal Landmarks.

Visual Augmentation Glasses for People with Impaired Vision (2017)
Conference Proceeding

This paper presents the preliminary design and development of a set visual augmentation glasses with the potential to assist people with varying degrees of loss of vision. The wearable spectacles are intended to be non-obstructive, and therefore empl... Read More about Visual Augmentation Glasses for People with Impaired Vision.

GLAUCOMA DIAGNOSIS USING FEATURE LEARNING BASED ON CONVOLUTIONAL NEURAL NETWORK (2016)
Presentation / Conference

Glaucoma is one of the common causes of blindness worldwide. It leads to deterioration in vision and quality of life if it is not cured early. This paper addresses the feasibility of developing an automatic feature learning technique for detecting gl... Read More about GLAUCOMA DIAGNOSIS USING FEATURE LEARNING BASED ON CONVOLUTIONAL NEURAL NETWORK.

Diabetic macular edema grading based on deep neural networks (2016)
Conference Proceeding

Diabetic Macular Edema (DME) is a major cause of vision loss in diabetes. Its early detection and treatment is therefore a vital task in management of diabetic retinopathy. In this paper, we propose a new featurelearning approach for grading the seve... Read More about Diabetic macular edema grading based on deep neural networks.

AUTOMATIC DETECTION OF FOVEA AND OPTIC DISC USING DEEP NEURAL NETWORKS (2016)
Presentation / Conference

Design: This is a software development and evaluation study involving colour fundus images of the retina from people with diabetes. Purpose: To investigate the feasibility of deep learning techniques to simultaneously detect the centres of the fovea... Read More about AUTOMATIC DETECTION OF FOVEA AND OPTIC DISC USING DEEP NEURAL NETWORKS.