Clinical interpretable deep learning model for glaucoma diagnosis

WM Liao, BJ Zou, RC Zhao, YQ Chen… - IEEE journal of …, 2019 - ieeexplore.ieee.org
Despite the potential to revolutionise disease diagnosis by performing data-driven
classification, clinical interpretability of ConvNet remains challenging. In this paper, a novel …

A comprehensive review of methods and equipment for aiding automatic glaucoma tracking

J Camara, A Neto, IM Pires, MV Villasana, E Zdravevski… - Diagnostics, 2022 - mdpi.com
Glaucoma is a chronic optic neuropathy characterized by irreversible damage to the retinal
nerve fiber layer (RNFL), resulting in changes in the visual field (VC). Glaucoma screening is …

EARDS: EfficientNet and attention-based residual depth-wise separable convolution for joint OD and OC segmentation

W Zhou, J Ji, Y Jiang, J Wang, Q Qi, Y Yi - Frontiers in Neuroscience, 2023 - frontiersin.org
Background Glaucoma is the leading cause of irreversible vision loss. Accurate Optic Disc
(OD) and Optic Cup (OC) segmentation is beneficial for glaucoma diagnosis. In recent years …

Joint optic disc and cup segmentation based on multi-scale feature analysis and attention pyramid architecture for glaucoma screening

G Sun, Z Zhang, J Zhang, M Zhu, X Zhu… - Neural Computing and …, 2023 - Springer
Automatic segmentation of optic disc (OD) and optic cup (OC) is an essential task for
analysing colour fundus images. In clinical practice, accurate OD and OC segmentation …

Multi-indices quantification of optic nerve head in fundus image via multitask collaborative learning

R Zhao, S Li - Medical Image Analysis, 2020 - Elsevier
Multi-indices quantification of optic nerve head (ONH), measuring ONH appearance with
multiple types of indices simultaneously from fundus images, is the most clinically significant …

Glaucoma patient screening from online retinal fundus images via Artificial Intelligence

P Franco, D Coronado-Gutierrez, C Lopez… - medRxiv, 2021 - medrxiv.org
Objectives To design and evaluate a novel automated glaucoma classifier from retinal
fundus images. Methods We designed a novel Artificial Intelligence (AI) automated tool to …

[PDF][PDF] Deep Learning for Glaucoma Detection: R-CNN ResNet-50 and Image Segmentation

MS Puchaicela-Lozano, L Zhinin-Vera… - Journal of Advances in …, 2023 - jait.us
Glaucoma is a leading cause of irreversible blindness worldwide, affecting millions of
people. Early diagnosis is essential to reduce visual loss, and various techniques are used …

A novel deep learning algorithm for optical disc segmentation for glaucoma diagnosis

G Rakesh, V Rajamanickam - Traitement du Signal, 2022 - search.proquest.com
In India, first major cause of blindness is the cataract and the next major cause of blindness
is the glaucoma which is approximately 11.9 million per yearly. The Optical Nerve Head …

Glaucoma Classification Using Enhanced Deep Transfer Learning Models with Hybrid ROI Cropped Optic Disc Technique

PB Singh, P Singh, H Dev, BK Chaurasia - SN Computer Science, 2023 - Springer
Glaucoma is a chronic, irrevocable eye ailment in which the optic nerve slowly deteriorates,
impairing vision and quality of life. Specialists can diagnose clinical glaucoma; however, the …

[PDF][PDF] A novel lightweight deep learning approach for simultaneous optic cup and optic disc segmentation in glaucoma detection

Y Song, W Zhang, Y Zhang - Mathematical Biosciences and …, 2024 - aimspress.com
Glaucoma is a chronic neurodegenerative disease that can result in irreversible vision loss if
not treated in its early stages. The cup-to-disc ratio is a key criterion for glaucoma screening …