Automatic segmentation of retinal layers in multiple neurodegenerative disorder scenarios

M Gende, V Mallen, J de Moura… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Retinal Optical Coherence Tomography (OCT) allows the non-invasive direct observation of
the central nervous system, enabling the measurement and extraction of biomarkers from …

[HTML][HTML] A systematic review on retinal biomarkers to diagnose dementia from OCT/OCTA images

Y Ibrahim, J Xie, A Macerollo… - Journal of …, 2023 - content.iospress.com
Background: Traditional methods for diagnosing dementia are costly, time-consuming, and
somewhat invasive. Since the retina shares significant anatomical similarities with the brain …

[HTML][HTML] The Acute Optic Neuritis Network (ACON): Study protocol of a non-interventional prospective multicenter study on diagnosis and treatment of acute optic …

S Asseyer, N Asgari, J Bennett, O Bialer… - Frontiers in …, 2023 - frontiersin.org
Optic neuritis (ON) often occurs at the presentation of multiple sclerosis (MS), neuromyelitis
optica spectrum disorders (NMOSD), and myelin oligodendrocyte glycoprotein (MOG) …

[HTML][HTML] Clinical applications of deep learning in neuroinflammatory diseases: A scoping review

S Demuth, J Paris, I Faddeenkov, J De Sèze… - Revue …, 2024 - Elsevier
Background Deep learning (DL) is an artificial intelligence technology that has aroused
much excitement for predictive medicine due to its ability to process raw data modalities …

Hybrid deep learning and optimal graph search method for optical coherence tomography layer segmentation in diseases affecting the optic nerve

Z Chen, H Zhang, EF Linton, BA Johnson… - Biomedical Optics …, 2024 - opg.optica.org
Accurate segmentation of retinal layers in optical coherence tomography (OCT) images is
critical for assessing diseases that affect the optic nerve, but existing automated algorithms …

[HTML][HTML] Frontiers in Retinal Image Processing

V Lakshminarayanan, P Jidesh - Journal of Imaging, 2022 - mdpi.com
Visual impairment is considered as a primary global challenge in the present era. This is
due to numerous reasons such as lack of awareness, shortage of resources and trained …

Advanced Retinal Image Segmentation using U-Net Architecture: A Leap Forward in Ophthalmological Diagnostics

N Hasan, MJA Riad, S Das, P Roy… - … on Advances in …, 2024 - ieeexplore.ieee.org
The expeditious advancement of deep learning in the field of biomedical imaging has
facilitated the emergence of innovative diagnostic instruments, hence revolutionising the …

[PDF][PDF] Advances in Processing Retinal Images.

V Lakshminarayanan, P Jidesh - directivepublications.org
In the modern day, visual impairment is regarded as the main worldwide challenge. This is
caused by a variety of factors, including a lack of knowledge, a lack of resources and …