Cargando…

DDLSNet: A Novel Deep Learning-Based System for Grading Funduscopic Images for Glaucomatous Damage

PURPOSE: To report an image analysis pipeline, DDLSNet, consisting of a rim segmentation (RimNet) branch and a disc size classification (DiscNet) branch to automate estimation of the disc damage likelihood scale (DDLS). DESIGN: Retrospective observational. PARTICIPANTS: RimNet and DiscNet were devel...

Descripción completa

Detalles Bibliográficos
Autores principales:	Rasheed, Haroon Adam, Davis, Tyler, Morales, Esteban, Fei, Zhe, Grassi, Lourdes, De Gainza, Agustina, Nouri-Mahdavi, Kouros, Caprioli, Joseph
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/PMC9813574/ https://www.ncbi.nlm.nih.gov/pubmed/36619716 http://dx.doi.org/10.1016/j.xops.2022.100255

Ejemplares similares

RimNet: A Deep Neural Network Pipeline for Automated Identification of the Optic Disc Rim
por: Rasheed, Haroon Adam, et al.
Publicado: (2022)

The upcoming role of Artificial Intelligence (AI) for retinal and glaucomatous diseases
por: Ferro Desideri, Lorenzo, et al.
Publicado: (2022)

A Metascore of Multiple Imaging Methods to Measure Long-Term Glaucoma Structural Progression
por: De Gainza, Agustina, et al.
Publicado: (2022)

Comparison of Methods to Detect and Measure Glaucomatous Visual Field Progression
por: Rabiolo, Alessandro, et al.
Publicado: (2019)

A Method to Measure the Rate of Glaucomatous Visual Field Change
por: Caprioli, Joseph, et al.
Publicado: (2018)

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

Self-Organising Map Based Framework for Investigating Accounts Suspected of Money Laundering
por: Alshantti, Abdallah, et al.
Publicado: (2021)

Predictive digital twin for optimizing patient-specific radiotherapy regimens under uncertainty in high-grade gliomas
por: Chaudhuri, Anirban, et al.
Publicado: (2023)

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)

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)

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)

Automated Detection of Posterior Vitreous Detachment on OCT Using Computer Vision and Deep Learning Algorithms
por: Li, Alexa L., 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)

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)

Explainable AI for Data-Driven Feedback and Intelligent Action Recommendations to Support Students Self-Regulation
por: Afzaal, Muhammad, et al.
Publicado: (2021)

Mysteries, Epistemological Modesty, and Artificial Intelligence in Surgery
por: Loftus, Tyler J., et al.
Publicado: (2020)

Editorial: Explainable artificial intelligence for critical healthcare applications
por: He, Zhe, et al.
Publicado: (2023)

Considering Performance in the Automated and Manual Coding of Sociolinguistic Variables: Lessons From Variable (ING)
por: Kendall, Tyler, et al.
Publicado: (2021)

An autoencoder-based deep learning method for genotype imputation
por: Song, Meng, et al.
Publicado: (2022)

A risk identification model for detection of patients at risk of antidepressant discontinuation
por: Zolnour, Ali, et al.
Publicado: (2023)

Phenotype clustering in health care: A narrative review for clinicians
por: Loftus, Tyler J., et al.
Publicado: (2022)

First Organoid Intelligence (OI) workshop to form an OI community
por: Morales Pantoja, Itzy E., et al.
Publicado: (2023)

Artificial intelligence for analyzing orthopedic trauma radiographs: Deep learning algorithms—are they on par with humans for diagnosing fractures?
por: Olczak, Jakub, et al.
Publicado: (2017)

Design Characteristics of Studies Reporting the Performance of Artificial Intelligence Algorithms for Diagnostic Analysis of Medical Images: Results from Recently Published Papers
por: Kim, Dong Wook, et al.
Publicado: (2019)

A Frequency-Domain Machine Learning Method for Dual-Calibrated fMRI Mapping of Oxygen Extraction Fraction (OEF) and Cerebral Metabolic Rate of Oxygen Consumption (CMRO(2))
por: Germuska, Michael, et al.
Publicado: (2020)

Artificial intelligence-guided tissue analysis combined with immune infiltrate assessment predicts stage III colon cancer outcomes in PETACC08 study
por: Reichling, Cynthia, et al.
Publicado: (2020)

Bringing Big Data to Bear in Environmental Public Health: Challenges and Recommendations
por: Comess, Saskia, et al.
Publicado: (2020)

On the Adaptability of Recurrent Neural Networks for Real-Time Jazz Improvisation Accompaniment
por: Kritsis, Kosmas, et al.
Publicado: (2021)

Case Report: Utilizing AI and NLP to Assist with Healthcare and Rehabilitation During the COVID-19 Pandemic
por: Carriere, Jay, et al.
Publicado: (2021)

A survey on exponential random graph models: an application perspective
por: Ghafouri, Saeid, et al.
Publicado: (2020)

Effects of data count and image scaling on Deep Learning training
por: Hirahara, Daisuke, et al.
Publicado: (2020)

Deep learning based Sequential model for malware analysis using Windows exe API Calls
por: Catak, Ferhat Ozgur, et al.
Publicado: (2020)

Data augmentation based malware detection using convolutional neural networks
por: Catak, Ferhat Ozgur, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_btfsuev2k42eg543gj6ot1nakm