Fourier-Bessel representation for signal processing: A review

PK Chaudhary, V Gupta, RB Pachori - Digital Signal Processing, 2023 - Elsevier
Several applications, analysis and visualization of signal demand representation of time-
domain signal in different domains like frequency-domain representation based on Fourier …

Artificial intelligence in the diagnosis of glaucoma and neurodegenerative diseases

MM Hasan, J Phu, A Sowmya, E Meijering… - Clinical and …, 2024 - Taylor & Francis
Artificial Intelligence is a rapidly expanding field within computer science that encompasses
the emulation of human intelligence by machines. Machine learning and deep learning–two …

Towards an extended EfficientNet-based U-Net framework for joint optic disc and cup segmentation in the fundus image

J Wang, X Li, Y Cheng - Biomedical Signal Processing and Control, 2023 - Elsevier
Purpose Automatic and accurate segmentation of the optic disc (OD) and optic cup (OC) is
crucial for clinical glaucoma screening. However, the segmentation accuracy cannot meet …

Retinal blood vessel segmentation using root Guided decision tree assisted enhanced Fuzzy C-mean clustering for disease identification

B Sindhusaranya, MR Geetha - Biomedical Signal Processing and Control, 2023 - Elsevier
A number of groundbreaking computer-aided techniques have recently been established for
the segmentation of retinal vessels, with clinical applications predominating. Early detection …

An efficient framework for optic disk segmentation and classification of Glaucoma on fundus images

J Sanghavi, M Kurhekar - Biomedical Signal Processing and Control, 2024 - Elsevier
Abstract Accurately segmenting the Optic Disk is a crucial step in classifying Glaucoma
using Fundus images. Machine learning and artificial intelligence techniques are widely …

Data-driven 2D-EWT based diabetic retinopathy identification using hybrid neural network

A Rawat, MP Singh, RR Sharma - Image and Vision Computing, 2024 - Elsevier
Diabetic retinopathy (DR) is one of the primary reason of blindness over the globe. During
DR, retina deteriorates continuously with the presence of lesions. It is difficult to detect DR in …

AUDSER: Auto-detect and self-recovery reversible steganography algorithm for biological signals

S Banerjee, GK Singh - Biomedical Signal Processing and Control, 2025 - Elsevier
Objective As stated in guidelines of the Health Insurance Portability and Accountability Act,
1996, protecting medical data is important in this digital age. In this paper, a new AUDSER …

AI-Driven Approaches for Glaucoma Detection--A Comprehensive Review

Y Hagiwara, OA Ciora, M Monnet, G Lancho… - arXiv preprint arXiv …, 2024 - arxiv.org
The diagnosis of glaucoma plays a critical role in the management and treatment of this
vision-threatening disease. Glaucoma is a group of eye diseases that cause blindness by …

[PDF][PDF] Review of Glaucoma Disease Diagnosis-based Deep Learning Network

RH Aziz, LAN Muhammed - Journal of Al-Qadisiyah for Computer Science …, 2024 - iasj.net
The glaucoma is a disease that leads to the irreversible loss of sight after its onset. In the
area of medicine, glaucoma diagnosis is a crucial problem that must be addressed. Only a …

[PDF][PDF] A Multi-Step Computer Aided Diagnostic System for Glaucoma Diagnosis

M Otoom, MA Alzubaidi, A Alqudah… - Available at SSRN … - papers.ssrn.com
Objective: Glaucoma is one of the most intractable diseases affecting the eye. Researchers
have worked on developing Computer-Aided Diagnosis (CAD) systems for glaucoma. Most …