Cargando…

Automated Detection of Posterior Vitreous Detachment on OCT Using Computer Vision and Deep Learning Algorithms

OBJECTIVE: To develop automated algorithms for the detection of posterior vitreous detachment (PVD) using OCT imaging. DESIGN: Evaluation of a diagnostic test or technology. SUBJECTS: Overall, 42 385 consecutive OCT images (865 volumetric OCT scans) obtained with Heidelberg Spectralis from 865 eyes...

Descripción completa

Detalles Bibliográficos
Autores principales:	Li, Alexa L., Feng, Moira, Wang, Zixi, Baxter, Sally L., Huang, Lingling, Arnett, Justin, Bartsch, Dirk-Uwe G., Kuo, David E., Saseendrakumar, Bharanidharan Radha, Guo, Joy, Nudleman, Eric
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Elsevier 2022
Materias:	Artificial Intelligence and Big Data
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9860346/ https://www.ncbi.nlm.nih.gov/pubmed/36691594 http://dx.doi.org/10.1016/j.xops.2022.100254

Ejemplares similares

Deep Learning Using Preoperative AS-OCT Predicts Graft Detachment in DMEK
por: Patefield, Alastair, et al.
Publicado: (2023)

Radiomics-Based Assessment of OCT Angiography Images for Diabetic Retinopathy Diagnosis
por: Carrera-Escalé, Laura, et al.
Publicado: (2022)

Demographics Prediction and Heatmap Generation From OCT Images of Anterior Segment of the Eye: A Vision Transformer Model Study
por: Lee, Yun Jeong, et al.
Publicado: (2022)

Vitreoretinopathy-Associated Pediatric Retinal Detachment Treatment Outcomes: IRIS® Registry (Intelligent Research in Sight) Analysis
por: Belin, Peter J., et al.
Publicado: (2023)

Deep-Learning–Aided Diagnosis of Diabetic Retinopathy, Age-Related Macular Degeneration, and Glaucoma Based on Structural and Angiographic OCT
por: Zang, Pengxiao, et al.
Publicado: (2022)

Convolutional Neural Network–Based Automated Quality Assessment of OCT and OCT Angiography Image Maps in Individuals With Neurodegenerative Disease
por: Lee, Terry, et al.
Publicado: (2023)

Synthetic OCT Data Generation to Enhance the Performance of Diagnostic Models for Neurodegenerative Diseases
por: Danesh, Hajar, et al.
Publicado: (2022)

Feasibility of Automated Segmentation of Pigmented Choroidal Lesions in OCT Data With Deep Learning
por: Valmaggia, Philippe, et al.
Publicado: (2022)

Sketching the vision of the Web of Debates
por: Bikakis, Antonis, et al.
Publicado: (2023)

A Diabetic Retinopathy Classification Framework Based on Deep-Learning Analysis of OCT Angiography
por: Zang, Pengxiao, et al.
Publicado: (2022)

Challenges and Prospects in Vision and Language Research
por: Kafle, Kushal, et al.
Publicado: (2019)

Editorial: Computer vision in plant phenotyping and agriculture
por: Stavness, Ian, et al.
Publicado: (2023)

Deep Learning for Diagnosing and Segmenting Choroidal Neovascularization in OCT Angiography in a Large Real-World Data Set
por: Wang, Jie, et al.
Publicado: (2023)

Segmentation-Free OCT-Volume-Based Deep Learning Model Improves Pointwise Visual Field Sensitivity Estimation
por: Chen, Zhiqi, et al.
Publicado: (2023)

Video captioning based on vision transformer and reinforcement learning
por: Zhao, Hong, et al.
Publicado: (2022)

Characterization of technologies in digital health applied in vision care
por: Stuermer, Leandro, et al.
Publicado: (2022)

Interpreting vision and language generative models with semantic visual priors
por: Cafagna, Michele, et al.
Publicado: (2023)

Editorial: Deep learning with limited labeled data for vision, audio, and text
por: Orescanin, Marko, et al.
Publicado: (2023)

Identifying the role of vision transformer for skin cancer—A scoping review
por: Khan, Sulaiman, et al.
Publicado: (2023)

A computer vision-based system for recognition and classification of Urdu sign language dataset
por: Zahid, Hira, et al.
Publicado: (2022)

Federated Learning for Microvasculature Segmentation and Diabetic Retinopathy Classification of OCT Data
por: Lo, Julian, et al.
Publicado: (2021)

What Does a Language-And-Vision Transformer See: The Impact of Semantic Information on Visual Representations
por: Ilinykh, Nikolai, et al.
Publicado: (2021)

Enhancing the robustness of vision transformer defense against adversarial attacks based on squeeze-and-excitation module
por: Chang, YouKang, et al.
Publicado: (2023)

Participatory design of teacher dashboards: navigating the tension between teacher input and theories on teacher professional vision
por: van Leeuwen, Anouschka, et al.
Publicado: (2023)

A novel method for credit scoring based on feature transformation and ensemble model
por: Li, Hongxiang, et al.
Publicado: (2021)

Supervised Learning Computer Vision Benchmark for Snake Species Identification From Photographs: Implications for Herpetology and Global Health
por: Durso, Andrew M., et al.
Publicado: (2021)

Descriptor Free QSAR Modeling Using Deep Learning With Long Short-Term Memory Neural Networks
por: Chakravarti, Suman K., et al.
Publicado: (2019)

Improving Robotic Hand Prosthesis Control With Eye Tracking and Computer Vision: A Multimodal Approach Based on the Visuomotor Behavior of Grasping
por: Cognolato, Matteo, et al.
Publicado: (2022)

Digital Slide Assessment for Programmed Death-Ligand 1 Combined Positive Score in Head and Neck Squamous Carcinoma: Focus on Validation and Vision
por: Eccher, Albino, et al.
Publicado: (2021)

Characteristics and Outcomes of Patients with Scleritis in the IRIS® Registry (Intelligent Research in Sight) Database
por: Armbrust, Karen R., et al.
Publicado: (2022)

Evolution and Applications of Artificial Intelligence to Cataract Surgery
por: Lindegger, Daniel Josef, et al.
Publicado: (2022)

Early Glaucoma Detection by Using Style Transfer to Predict Retinal Nerve Fiber Layer Thickness Distribution on the Fundus Photograph
por: Chen, Henry Shen-Lih, et al.
Publicado: (2022)

Synthetic Medical Images for Robust, Privacy-Preserving Training of Artificial Intelligence: Application to Retinopathy of Prematurity Diagnosis
por: Coyner, Aaron S., et al.
Publicado: (2022)

Assessing Surface Shapes of the Optic Nerve Head and Peripapillary Retinal Nerve Fiber Layer in Glaucoma with Artificial Intelligence
por: Saini, Chhavi, et al.
Publicado: (2022)

DDLSNet: A Novel Deep Learning-Based System for Grading Funduscopic Images for Glaucomatous Damage
por: Rasheed, Haroon Adam, et al.
Publicado: (2022)

Visual Acuity: Assessment of Data Quality and Usability in an Electronic Health Record System
por: Goldstein, Judith E., et al.
Publicado: (2022)

Implementation of a Large-Scale Image Curation Workflow Using Deep Learning Framework
por: Domalpally, Amitha, et al.
Publicado: (2022)

Detecting Glaucoma from Fundus Photographs Using Deep Learning without Convolutions: Transformer for Improved Generalization
por: Fan, Rui, et al.
Publicado: (2022)

Artificial Intelligence Detection of Diabetic Retinopathy: Subgroup Comparison of the EyeArt System with Ophthalmologists’ Dilated Examinations
por: Lim, Jennifer Irene, et al.
Publicado: (2022)

SynthEye: Investigating the Impact of Synthetic Data on Artificial Intelligence-assisted Gene Diagnosis of Inherited Retinal Disease
por: Veturi, Yoga Advaith, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_77s2j3h6m5gro1udvs00s6iohr