Cargando…

Glaucoma diagnosis using multi-feature analysis and a deep learning technique

In this study, we aimed to facilitate the current diagnostic assessment of glaucoma by analyzing multiple features and introducing a new cross-sectional optic nerve head (ONH) feature from optical coherence tomography (OCT) images. The data (n = 100 for both glaucoma and control) were collected base...

Descripción completa

Detalles Bibliográficos
Autores principales:	Akter, Nahida, Fletcher, John, Perry, Stuart, Simunovic, Matthew P., Briggs, Nancy, Roy, Maitreyee
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9110703/ https://www.ncbi.nlm.nih.gov/pubmed/35577876 http://dx.doi.org/10.1038/s41598-022-12147-y

Ejemplares similares

Medical Application of Geometric Deep Learning for the Diagnosis of Glaucoma
por: Thiéry, Alexandre H., et al.
Publicado: (2023)

Identification of glaucoma from fundus images using deep learning techniques
por: Ajitha, S, et al.
Publicado: (2021)

Diagnosis of corona diseases from associated genes and X-ray images using machine learning algorithms and deep CNN
por: Habib, Nahida, et al.
Publicado: (2021)

A Review of Deep Learning for Screening, Diagnosis, and Detection of Glaucoma Progression
por: Thompson, Atalie C., et al.
Publicado: (2020)

Detecting glaucoma from multi-modal data using probabilistic deep learning
por: Huang, Xiaoqin, et al.
Publicado: (2022)

Multi-task deep learning for glaucoma detection from color fundus images
por: Pascal, Lucas, et al.
Publicado: (2022)

A Multimodal Classification Architecture for the Severity Diagnosis of Glaucoma Based on Deep Learning
por: Yi, Sanli, et al.
Publicado: (2022)

Automatic Diagnosis of Glaucoma from Retinal Images Using Deep Learning Approach
por: Shoukat, Ayesha, et al.
Publicado: (2023)

A Deep Learning Model for Fault Diagnosis with a Deep Neural Network and Feature Fusion on Multi-Channel Sensory Signals
por: Ye, Qing, et al.
Publicado: (2020)

Image enhancement techniques on deep learning approaches for automated diagnosis of COVID-19 features using CXR images
por: Sharma, Ajay, et al.
Publicado: (2022)

A hierarchical deep learning approach with transparency and interpretability based on small samples for glaucoma diagnosis
por: Xu, Yongli, et al.
Publicado: (2021)

Targeted deep learning classification and feature extraction for clinical diagnosis
por: Tsai, Yiting, et al.
Publicado: (2023)

Human Activity Recognition Using Attention-Mechanism-Based Deep Learning Feature Combination
por: Akter, Morsheda, et al.
Publicado: (2023)

Melanoma diagnosis using deep learning techniques on dermatoscopic images
por: Jojoa Acosta, Mario Fernando, et al.
Publicado: (2021)

Combined Deep Learning Techniques for Mandibular Fracture Diagnosis Assistance
por: Son, Dong-Min, et al.
Publicado: (2022)

Alzheimer’s disease diagnosis and classification using deep learning techniques
por: Al Shehri, Waleed
Publicado: (2022)

Deep learning on fundus images detects glaucoma beyond the optic disc
por: Hemelings, Ruben, et al.
Publicado: (2021)

Deep transfer learning approaches for Monkeypox disease diagnosis
por: Ahsan, Md Manjurul, et al.
Publicado: (2023)

Development of machine learning models for diagnosis of glaucoma
por: Kim, Seong Jae, et al.
Publicado: (2017)

Improving Glaucoma Diagnosis Assembling Deep Networks and Voting Schemes
por: Sánchez-Morales, Adrián, et al.
Publicado: (2022)

Accurate staging of chick embryonic tissues via deep learning of salient features
por: Groves, Ian, et al.
Publicado: (2023)

Pseudophakic pupillary block glaucoma in early postoperative period masquerading as endophthalmitis: Clinical features are important for differential diagnosis
por: Roy, Parthasarathi
Publicado: (2018)

MultiCOVID: a multi modal deep learning approach for COVID-19 diagnosis
por: Hardy-Werbin, Max, et al.
Publicado: (2023)

Kinship verification and recognition based on handcrafted and deep learning feature-based techniques
por: Nader, Nermeen, et al.
Publicado: (2021)

Development of Deep Learning Technique of Features for the Analysis of Clinical Images Integrated with CANN
por: Kasinathan, Prabakaran, et al.
Publicado: (2022)

Colon Cancer Diagnosis Based on Machine Learning and Deep Learning: Modalities and Analysis Techniques
por: Tharwat, Mai, et al.
Publicado: (2022)

Machine learning techniques on homological persistence features for prostate cancer diagnosis
por: Rammal, Abbas, et al.
Publicado: (2022)

Deep Learning for Diagnosis of Paranasal Sinusitis Using Multi-View Radiographs
por: Jeon, Yejin, et al.
Publicado: (2021)

Multi-Method Diagnosis of Blood Microscopic Sample for Early Detection of Acute Lymphoblastic Leukemia Based on Deep Learning and Hybrid Techniques
por: Abunadi, Ibrahim, et al.
Publicado: (2022)

Multi-Method Analysis of Histopathological Image for Early Diagnosis of Oral Squamous Cell Carcinoma Using Deep Learning and Hybrid Techniques
por: Ahmad, Mehran, et al.
Publicado: (2023)

A Critical Review of Deep Learning-Based Multi-Sensor Fusion Techniques
por: Marsh, Benedict, et al.
Publicado: (2022)

A Hybrid Feature Model and Deep-Learning-Based Bearing Fault Diagnosis
por: Sohaib, Muhammad, et al.
Publicado: (2017)

Deep Learning-Based Chest CT Image Features in Diagnosis of Lung Cancer
por: Feng, Jianxin, et al.
Publicado: (2022)

Magnetic Resonance Imaging Features on Deep Learning Algorithm for the Diagnosis of Nasopharyngeal Carcinoma
por: Huang, Ruijie, et al.
Publicado: (2022)

Trend Feature Consistency Guided Deep Learning Method for Minor Fault Diagnosis
por: Jia, Pengpeng, et al.
Publicado: (2023)

A systematic review on machine learning and deep learning techniques in the effective diagnosis of Alzheimer’s disease
por: Arya, Akhilesh Deep, et al.
Publicado: (2023)

The influence of mixed thickeners on printing over lyocell knitted fabric
por: Akter, Nahida, et al.
Publicado: (2023)

Diagnosis of COVID-19 using CT scan images and deep learning techniques
por: Shah, Vruddhi, et al.
Publicado: (2021)

A Review on Deep Learning Techniques for the Diagnosis of Novel Coronavirus (COVID-19)
Publicado: (2021)

Multi-Drug Featurization and Deep Learning Improve Patient-Specific Predictions of Adverse Events
por: Anastopoulos, Ioannis N., et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_5gsrlubsc75po1idiiv84feann