Cargando…

A Convolutional Neural Network Architecture for Segmentation of Lung Diseases Using Chest X-ray Images

The segmentation of lungs from medical images is a critical step in the diagnosis and treatment of lung diseases. Deep learning techniques have shown great promise in automating this task, eliminating the need for manual annotation by radiologists. In this research, a convolution neural network arch...

Descripción completa

Detalles Bibliográficos
Autores principales:	Sulaiman, Adel, Anand, Vatsala, Gupta, Sheifali, Asiri, Yousef, Elmagzoub, M. A., Reshan, Mana Saleh Al, Shaikh, Asadullah
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10178696/ https://www.ncbi.nlm.nih.gov/pubmed/37175042 http://dx.doi.org/10.3390/diagnostics13091651

Ejemplares similares

Detection of Pneumonia from Chest X-ray Images Utilizing MobileNet Model
por: Reshan, Mana Saleh Al, et al.
Publicado: (2023)

An Intelligent Attention-Based Transfer Learning Model for Accurate Differentiation of Bone Marrow Stains to Diagnose Hematological Disorder
por: Alshahrani, Hani, et al.
Publicado: (2023)

Secure Telemedicine System Design for COVID-19 Patients Treatment Using Service Oriented Architecture
por: Shaikh, Asadullah, et al.
Publicado: (2022)

EfficientNetB0 cum FPN Based Semantic Segmentation of Gastrointestinal Tract Organs in MRI Scans
por: Sharma, Neha, et al.
Publicado: (2023)

ResRandSVM: Hybrid Approach for Acute Lymphocytic Leukemia Classification in Blood Smear Images
por: Sulaiman, Adel, et al.
Publicado: (2023)

U-Net Model with Transfer Learning Model as a Backbone for Segmentation of Gastrointestinal Tract
por: Sharma, Neha, et al.
Publicado: (2023)

Modified U-NET Architecture for Segmentation of Skin Lesion
por: Anand, Vatsala, et al.
Publicado: (2022)

Enhancing Breast Cancer Detection and Classification Using Advanced Multi-Model Features and Ensemble Machine Learning Techniques
por: Reshan, Mana Saleh Al, et al.
Publicado: (2023)

Weighted Average Ensemble Deep Learning Model for Stratification of Brain Tumor in MRI Images
por: Anand, Vatsala, et al.
Publicado: (2023)

Artificial Intelligence-Based Secured Power Grid Protocol for Smart City
por: Sulaiman, Adel, et al.
Publicado: (2023)

Performance Evaluation of the Deep Learning Based Convolutional Neural Network Approach for the Recognition of Chest X-Ray Images
por: Sharma, Sandhya, et al.
Publicado: (2022)

Detection of offensive terms in resource-poor language using machine learning algorithms
por: Raza, Muhammad Owais, et al.
Publicado: (2023)

Achieving model explainability for intrusion detection in VANETs with LIME
por: Hassan, Fayaz, et al.
Publicado: (2023)

A light-weight convolutional Neural Network Architecture for classification of COVID-19 chest X-Ray images
por: Masud, Mehedi
Publicado: (2022)

To segment or not to segment: COVID-19 detection for chest X-rays()
por: Al Hajj Ibrahim, Sara, et al.
Publicado: (2023)

Deep Learning-Based Computer-Aided Pneumothorax Detection Using Chest X-ray Images
por: Malhotra, Priyanka, et al.
Publicado: (2022)

Early detection of student degree-level academic performance using educational data mining
por: Meghji, Areej Fatemah, et al.
Publicado: (2023)

Chest X-ray pneumothorax segmentation using U-Net with EfficientNet and ResNet architectures
por: Abedalla, Ayat, et al.
Publicado: (2021)

Convolutional neural networks for the classification of chest X-rays in the IoT era
por: Almezhghwi, Khaled, et al.
Publicado: (2021)

PDCOVIDNet: a parallel-dilated convolutional neural network architecture for detecting COVID-19 from chest X-ray images
por: Chowdhury, Nihad K., et al.
Publicado: (2020)

COVID-SegNet: encoder–decoder-based architecture for COVID-19 lesion segmentation in chest X-ray
por: Agrawal, Tarun, et al.
Publicado: (2023)

Effective Utilization of Multiple Convolutional Neural Networks for Chest X-Ray Classification
por: Rammuni Silva, Ravidu Suien, et al.
Publicado: (2022)

ERGPNet: lesion segmentation network for COVID-19 chest X-ray images based on embedded residual convolution and global perception
por: Yue, Gongtao, et al.
Publicado: (2023)

Chest X-ray dataset and ground truth for lung segmentation
por: Wahyuningrum, Rima Tri, et al.
Publicado: (2023)

Neural architecture search for pneumonia diagnosis from chest X-rays
por: Gupta, Abhibha, et al.
Publicado: (2022)

FractalCovNet architecture for COVID-19 Chest X-ray image Classification and CT-scan image Segmentation
por: Munusamy, Hemalatha, et al.
Publicado: (2021)

XCOVNet: Chest X-ray Image Classification for COVID-19 Early Detection Using Convolutional Neural Networks
por: Madaan, Vishu, et al.
Publicado: (2021)

Detecting Pneumonia Using Convolutions and Dynamic Capsule Routing for Chest X-ray Images
por: Mittal, Ansh, et al.
Publicado: (2020)

Automated segmentation and diagnosis of pneumothorax on chest X-rays with fully convolutional multi-scale ScSE-DenseNet: a retrospective study
por: Wang, Qingfeng, et al.
Publicado: (2020)

Convolutional Neural Network-Based Humerus Segmentation and Application to Bone Mineral Density Estimation from Chest X-ray Images of Critical Infants
por: Liu, Yung-Chun, et al.
Publicado: (2020)

Predicting COVID-19 pneumonia severity on chest X-ray with convolutional neural network: A retrospective study
por: Rao, Vishal, et al.
Publicado: (2020)

Preliminary Results on Pulmonary Tuberculosis Detection in Chest X-Ray Using Convolutional Neural Networks
por: Colombo Filho, Márcio Eloi, et al.
Publicado: (2020)

A deep convolutional neural network for COVID-19 detection using chest X-rays
por: Bassi, Pedro R. A. S., et al.
Publicado: (2021)

Diagnosis of Pediatric Pneumonia with Ensemble of Deep Convolutional Neural Networks in Chest X-Ray Images
por: Ayan, Enes, et al.
Publicado: (2021)

Detection of novel coronavirus from chest X-rays using deep convolutional neural networks
por: Sanket, Shashwat, et al.
Publicado: (2021)

Shallow Convolutional Neural Network for COVID-19 Outbreak Screening Using Chest X-rays
por: Mukherjee, Himadri, et al.
Publicado: (2021)

An intelligent deep convolutional network based COVID-19 detection from chest X-rays
por: Alshahrni, Mohammad M., et al.
Publicado: (2023)

Utilization of Deep Convolutional Neural Networks for Accurate Chest X-Ray Diagnosis and Disease Detection
por: Mann, Mukesh, et al.
Publicado: (2023)

High-Resolution Network with Dynamic Convolution and Coordinate Attention for Classification of Chest X-ray Images
por: Li, Qiang, et al.
Publicado: (2023)

ChestX-Ray6: Prediction of multiple diseases including COVID-19 from chest X-ray images using convolutional neural network [Image: see text]
por: Nahiduzzaman, Md., et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_kd7m3mkskc96795fh05vr8csuc