[HTML][HTML] Glaucoma diagnosis in the era of deep learning: A survey
Glaucoma, a leading cause of irreversible blindness worldwide, poses significant diagnostic
challenges due to its reliance on subjective evaluation. Recent advances in computer vision …
challenges due to its reliance on subjective evaluation. Recent advances in computer vision …
Artificial intelligence in glaucoma: opportunities, challenges, and future directions
Artificial intelligence (AI) has shown excellent diagnostic performance in detecting various
complex problems related to many areas of healthcare including ophthalmology. AI …
complex problems related to many areas of healthcare including ophthalmology. AI …
On episodes, prototypical networks, and few-shot learning
S Laenen, L Bertinetto - Advances in Neural Information …, 2021 - proceedings.neurips.cc
Episodic learning is a popular practice among researchers and practitioners interested in
few-shot learning. It consists of organising training in a series of learning problems (or …
few-shot learning. It consists of organising training in a series of learning problems (or …
[HTML][HTML] Sensor data analysis and development of machine learning models for detection of glaucoma
H Świerczyński, J Pukacki, S Szczęsny… - … Signal Processing and …, 2023 - Elsevier
This paper focuses on analysis of data acquired using Triggerfish contact lens sensor and
devices for continuous monitoring of cardiovascular system properties. One of the aims of …
devices for continuous monitoring of cardiovascular system properties. One of the aims of …
Corolla: An efficient multi-modality fusion framework with supervised contrastive learning for glaucoma grading
Glaucoma is one of the ophthalmic diseases that may cause blindness, for which early
detection and treatment are very important. Fundus images and optical coherence …
detection and treatment are very important. Fundus images and optical coherence …
[HTML][HTML] Supervised contrastive learning-guided prototypes on axle-box accelerations for railway crossing inspections
Increasing demands on railway structures have led to a need for new cost-effective
maintenance strategies in recent years. Current dynamic railway track monitoring systems …
maintenance strategies in recent years. Current dynamic railway track monitoring systems …
Deep learning and computer vision for glaucoma detection: A review
Glaucoma is the leading cause of irreversible blindness worldwide and poses significant
diagnostic challenges due to its reliance on subjective evaluation. However, recent …
diagnostic challenges due to its reliance on subjective evaluation. However, recent …
[HTML][HTML] Robust multi-view approaches for retinal layer segmentation in glaucoma patients via transfer learning
M Gende, J de Moura, JI Fernández-Vigo… - … Imaging in Medicine …, 2023 - ncbi.nlm.nih.gov
Background Glaucoma is the leading global cause of irreversible blindness. Glaucoma
patients experience a progressive deterioration of the retinal nervous tissues that begins …
patients experience a progressive deterioration of the retinal nervous tissues that begins …
[HTML][HTML] Artificial Intelligence in Retinal Screening Using OCT Images: A Review of the Last Decade (2013-2023)
Background and objectives Optical coherence tomography (OCT) has ushered in a
transformative era in the domain of ophthalmology, offering non-invasive imaging with high …
transformative era in the domain of ophthalmology, offering non-invasive imaging with high …
RETRACTED: Design and development of SER-UNet model for glaucoma image analysis
C Gobinath, MP Gopinath - Journal of Electronic Imaging, 2022 - spiedigitallibrary.org
The Editor-in-Chief and the publisher have retracted this article, which was submitted as part
of a guest-edited special section. An investigation uncovered evidence of compromised peer …
of a guest-edited special section. An investigation uncovered evidence of compromised peer …