AIMC Topic: Glaucoma

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An automatic glaucoma grading method based on attention mechanism and EfficientNet-B3 network.

PloS one Aug 16, 2024
Glaucoma infection is rapidly spreading globally and the number of glaucoma patients is expected to exceed 110 million by 2040. Early identification and detection of glaucoma is particularly important as it can easily lead to irreversible vision dama...
Algorithms Humans Deep Learning Neural Networks, Computer Tomography, Optical Coherence Glaucoma
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Multi-step framework for glaucoma diagnosis in retinal fundus images using deep learning.

Medical & biological engineering & computing Aug 5, 2024
Glaucoma is one of the most common causes of blindness in the world. Screening glaucoma from retinal fundus images based on deep learning is a common method at present. In the diagnosis of glaucoma based on deep learning, the blood vessels within the...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Fundus Oculi Image Interpretation, Computer-Assisted Glaucoma Optic Disk Algorithms Deep Learning
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The role of saliency maps in enhancing ophthalmologists' trust in artificial intelligence models.

Asia-Pacific journal of ophthalmology (Philadelphia, Pa.) Jul 26, 2024
PURPOSE: Saliency maps (SM) allow clinicians to better understand the opaque decision-making process in artificial intelligence (AI) models by visualising the important features responsible for predictions. This ultimately improves interpretability a...
Glaucoma Artificial Intelligence Trust Ophthalmologists Humans
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Developing a privacy-preserving deep learning model for glaucoma detection: a multicentre study with federated learning.

The British journal of ophthalmology Jul 23, 2024
BACKGROUND: Deep learning (DL) is promising to detect glaucoma. However, patients' privacy and data security are major concerns when pooling all data for model development. We developed a privacy-preserving DL model using the federated learning (FL) ...
Humans Glaucoma Algorithms Prospective Studies Male Middle Aged Deep Learning Tomography, Optical Coherence Female Aged Intraocular Pressure Optic Disk
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Prediction of visual field progression with serial optic disc photographs using deep learning.

The British journal of ophthalmology Jul 23, 2024
AIM: We tested the hypothesis that visual field (VF) progression can be predicted with a deep learning model based on longitudinal pairs of optic disc photographs (ODP) acquired at earlier time points during follow-up.
Optic Nerve Diseases Photography Optic Disk Visual Fields Visual Field Tests Retrospective Studies Male Follow-Up Studies Humans Female Deep Learning Middle Aged Vision Disorders Aged Glaucoma ROC Curve Disease Progression Intraocular Pressure
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Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization.

IEEE transactions on medical imaging Jul 1, 2024
Fairness (also known as equity interchangeably) in machine learning is important for societal well-being, but limited public datasets hinder its progress. Currently, no dedicated public medical datasets with imaging data for fairness learning are ava...
Middle Aged Imaging, Three-Dimensional Image Interpretation, Computer-Assisted Humans Glaucoma Machine Learning Aged Male Databases, Factual Female
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Evaluation of machine learning approach for surgical results of Ahmed valve implantation in patients with glaucoma.

BMC ophthalmology Jun 11, 2024
BACKGROUND: Ahmed valve implantation demonstrated an increasing proportion in glaucoma surgery, but predicting the successful maintenance of target intraocular pressure remains a challenging task. This study aimed to evaluate the performance of machi...
Prosthesis Implantation Glaucoma Drainage Implants Humans Adult Intraocular Pressure Male Treatment Outcome Visual Acuity Middle Aged ROC Curve Female Risk Factors Glaucoma Aged Machine Learning Aged, 80 and over Retrospective Studies
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Assessing the efficacy of 2D and 3D CNN algorithms in OCT-based glaucoma detection.

Scientific reports May 23, 2024
Glaucoma is a progressive neurodegenerative disease characterized by the gradual degeneration of retinal ganglion cells, leading to irreversible blindness worldwide. Therefore, timely and accurate diagnosis of glaucoma is crucial, enabling early inte...
Retinal Ganglion Cells Humans Neural Networks, Computer Glaucoma Tomography, Optical Coherence Algorithms Optic Disk Imaging, Three-Dimensional
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Progression or Aging? A Deep Learning Approach for Distinguishing Glaucoma Progression From Age-Related Changes in OCT Scans.

American journal of ophthalmology May 3, 2024
PURPOSE: To develop deep learning (DL) algorithm to detect glaucoma progression using optical coherence tomography (OCT) images, in the absence of a reference standard.
Glaucoma, Open-Angle Glaucoma Optic Disk Algorithms Retinal Ganglion Cells Retrospective Studies Follow-Up Studies Visual Fields Female Tomography, Optical Coherence Optic Nerve Diseases Aging Humans Nerve Fibers Disease Progression Aged Middle Aged Neural Networks, Computer Deep Learning Intraocular Pressure Male
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A hybrid framework for glaucoma detection through federated machine learning and deep learning models.

BMC medical informatics and decision making May 2, 2024
BACKGROUND: Glaucoma, the second leading cause of global blindness, demands timely detection due to its asymptomatic progression. This paper introduces an advanced computerized system, integrates Machine Learning (ML), convolutional neural networks (...
Humans Neural Networks, Computer Deep Learning Glaucoma Machine Learning
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