Cargando…

Glaucoma Detection and Classification Using Improved U-Net Deep Learning Model

Glaucoma is prominent in a variety of nations, with the United States and Europe being two of the most famous. Glaucoma now affects around 78 million people throughout the world (2020). By the year 2040, it is expected that there will be 111.8 million cases of glaucoma worldwide. In countries that a...

Descripción completa

Detalles Bibliográficos
Autores principales:	Kashyap, Ramgopal, Nair, Rajit, Gangadharan, Syam Machinathu Parambil, Botto-Tobar, Miguel, Farooq, Saadia, Rizwan, Ali
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9778546/ https://www.ncbi.nlm.nih.gov/pubmed/36554021 http://dx.doi.org/10.3390/healthcare10122497

Ejemplares similares

Breast Cancer Detection on Histopathological Images Using a Composite Dilated Backbone Network
por: Mohanakurup, Vinodkumar, et al.
Publicado: (2022)

Sentiment Analysis of Statements on Social Media and Electronic Media Using Machine and Deep Learning Classifiers
por: Goswami, Anjali, et al.
Publicado: (2022)

Segmentation and Classification of Glaucoma Using U-Net with Deep Learning Model
por: Sudhan, M. B., et al.
Publicado: (2022)

Improved Machine Learning Method for Intracranial Tumor Detection with Accelerated Particle Swarm Optimization
por: Pradeep, K. R., et al.
Publicado: (2022)

Peripapillary atrophy classification using CNN deep learning for glaucoma screening
por: Almansour, Abdullah, et al.
Publicado: (2022)

Application of Genetic Algorithm and U-Net in Brain Tumor Segmentation and Classification: A Deep Learning Approach
por: Arif, Muhammad, et al.
Publicado: (2022)

DSCC_Net: Multi-Classification Deep Learning Models for Diagnosing of Skin Cancer Using Dermoscopic Images
por: Tahir, Maryam, et al.
Publicado: (2023)

Clinical Decision Support Framework for Segmentation and Classification of Brain Tumor MRIs Using a U-Net and DCNN Cascaded Learning Algorithm
por: Samee, Nagwan Abdel, et al.
Publicado: (2022)

A state-of-the-art technique to perform cloud-based semantic segmentation using deep learning 3D U-Net architecture
por: Shaukat, Zeeshan, et al.
Publicado: (2022)

Development of Deep Learning with RDA U-Net Network for Bladder Cancer Segmentation
por: Lee, Ming-Chan, et al.
Publicado: (2023)

Deep Learning-Based Classification for Melanoma Detection Using XceptionNet
por: Lu, Xinrong, et al.
Publicado: (2022)

Performance Analysis of Segmentation and Classification of CT-Scanned Ovarian Tumours Using U-Net and Deep Convolutional Neural Networks
por: Kodipalli, Ashwini, et al.
Publicado: (2023)

An Improved 3D Deep Learning-Based Segmentation of Left Ventricular Myocardial Diseases from Delayed-Enhancement MRI with Inclusion and Classification Prior Information U-Net (ICPIU-Net)
por: Brahim, Khawla, et al.
Publicado: (2022)

COVID-19 lung CT image segmentation using deep learning methods: U-Net versus SegNet
por: Saood, Adnan, et al.
Publicado: (2021)

Automatic segmentation of rectal tumor on diffusion‐weighted images by deep learning with U‐Net
por: Zhu, Hai‐Tao, et al.
Publicado: (2021)

Bridged-U-Net-ASPP-EVO and Deep Learning Optimization for Brain Tumor Segmentation
por: Yousef, Rammah, et al.
Publicado: (2023)

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

SRAS‐net: Low‐resolution chromosome image classification based on deep learning
por: Liu, Xiangbin, et al.
Publicado: (2022)

BrainNet: Optimal Deep Learning Feature Fusion for Brain Tumor Classification
por: Zahid, Usman, et al.
Publicado: (2022)

Grape Leaf Disease Classification Combined with U-Net++ Network and Threshold Segmentation
por: Wang, Guowei, et al.
Publicado: (2022)

Attention-augmented U-Net (AA-U-Net) for semantic segmentation
por: Rajamani, Kumar T., et al.
Publicado: (2022)

EnRDeA U-Net Deep Learning of Semantic Segmentation on Intricate Noise Roads
por: Yu, Xiaodong, et al.
Publicado: (2023)

Segmentation of Medical Image Using Novel Dilated Ghost Deep Learning Model
por: Zambrano-Vizuete, Marcelo, et al.
Publicado: (2022)

Automatic renal mass segmentation and classification on CT images based on 3D U-Net and ResNet algorithms
por: Zhao, Tongtong, et al.
Publicado: (2023)

Independent Validation of a Deep Learning nnU-Net Tool for Neuroblastoma Detection and Segmentation in MR Images
por: Veiga-Canuto, Diana, et al.
Publicado: (2023)

EEG Emotion Classification Using an Improved SincNet-Based Deep Learning Model
por: Zeng, Hong, et al.
Publicado: (2019)

FilterNet: A Many-to-Many Deep Learning Architecture for Time Series Classification
por: Chambers, Robert D., et al.
Publicado: (2020)

Recycled Clothing Classification System Using Intelligent IoT and Deep Learning with AlexNet
por: Noh, Sun-Kuk
Publicado: (2021)

KRS-Net: A Classification Approach Based on Deep Learning for Koi with High Similarity
por: Zheng, Youliang, et al.
Publicado: (2022)

GIT-Net: An Ensemble Deep Learning-Based GI Tract Classification of Endoscopic Images
por: Gunasekaran, Hemalatha, et al.
Publicado: (2023)

Retracted: Grape Leaf Disease Classification Combined with U-Net++ Network and Threshold Segmentation
por: Intelligence and Neuroscience, Computational
Publicado: (2023)

A U-Net Deep Learning Framework for High Performance Vessel Segmentation in Patients With Cerebrovascular Disease
por: Livne, Michelle, et al.
Publicado: (2019)

A Novel U-Net Based Deep Learning Method for 3D Cardiovascular MRI Segmentation
por: Lu, Yinan, et al.
Publicado: (2022)

A comparison of deep learning U-Net architectures for posterior segment OCT retinal layer segmentation
por: Kugelman, Jason, et al.
Publicado: (2022)

Hybrid U‐Net‐based deep learning model for volume segmentation of lung nodules in CT images
por: Wang, Yifan, et al.
Publicado: (2022)

DCTR U-Net: automatic segmentation algorithm for medical images of nasopharyngeal cancer in the context of deep learning
por: Zeng, Yan, et al.
Publicado: (2023)

Deep Learning Model for the Detection of Real Time Breast Cancer Images Using Improved Dilation-Based Method
por: Aldhyani, Theyazn H. H., et al.
Publicado: (2022)

An Effective Deep Learning Model for Health Monitoring and Detection of COVID-19 Infected Patients: An End-to-End Solution
por: Biradar, Vidyadevi G., et al.
Publicado: (2022)

Deep learning classification of early normal-tension glaucoma and glaucoma suspects using Bruch’s membrane opening-minimum rim width and RNFL
por: Seo, Sat byul, et al.
Publicado: (2020)

Deep learning classification of early normal-tension glaucoma and glaucoma suspect eyes using Bruch’s membrane opening-based disc photography
por: Seo, Sat Byul, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_th1mp276kggq9a2gdt9nol70en