Cargando…

A comprehensive study on classification of COVID-19 on computed tomography with pretrained convolutional neural networks

The use of imaging data has been reported to be useful for rapid diagnosis of COVID-19. Although computed tomography (CT) scans show a variety of signs caused by the viral infection, given a large amount of images, these visual features are difficult and can take a long time to be recognized by radi...

Descripción completa

Detalles Bibliográficos
Autor principal:	Pham, Tuan D.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2020
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7547710/ https://www.ncbi.nlm.nih.gov/pubmed/33037291 http://dx.doi.org/10.1038/s41598-020-74164-z

Ejemplares similares

3D Convolutional Neural Networks Initialized from Pretrained 2D Convolutional Neural Networks for Classification of Industrial Parts
por: Merino, Ibon, et al.
Publicado: (2021)

Cough event classification by pretrained deep neural network
por: Liu, Jia-Ming, et al.
Publicado: (2015)

Acute Lymphoblastic Leukemia Detection and Classification of Its Subtypes Using Pretrained Deep Convolutional Neural Networks
por: Shafique, Sarmad, et al.
Publicado: (2018)

Light-Dermo: A Lightweight Pretrained Convolution Neural Network for the Diagnosis of Multiclass Skin Lesions
por: Baig, Abdul Rauf, et al.
Publicado: (2023)

Investigating the Use of Pretrained Convolutional Neural Network on Cross-Subject and Cross-Dataset EEG Emotion Recognition
por: Cimtay, Yucel, et al.
Publicado: (2020)

A novel machine learning scheme for face mask detection using pretrained convolutional neural network
por: Saravanan, T.M., et al.
Publicado: (2022)

Pulmonary Nodule Classification with Deep Convolutional Neural Networks on Computed Tomography Images
por: Li, Wei, et al.
Publicado: (2016)

Hotel Review Classification Based on the Text Pretraining Heterogeneous Graph Neural Network Model
por: Zhang, Liyan, et al.
Publicado: (2022)

Comparison of Convolutional Neural Networks and Transformers for the Classification of Images of COVID-19, Pneumonia and Healthy Individuals as Observed with Computed Tomography
por: Ascencio-Cabral, Azucena, et al.
Publicado: (2022)

Maxillofacial fracture detection and classification in computed tomography images using convolutional neural network-based models
por: Warin, Kritsasith, et al.
Publicado: (2023)

Multiclass Convolution Neural Network for Classification of COVID-19 CT Images
por: Woan Ching, Serena Low, et al.
Publicado: (2022)

Automated detection and classification of acute vertebral body fractures using a convolutional neural network on computed tomography
por: Zhang, Jianlun, et al.
Publicado: (2023)

Automated COVID-19 Grading With Convolutional Neural Networks in Computed Tomography Scans: A Systematic Comparison
Publicado: (2021)

Covid-19 classification by FGCNet with deep feature fusion from graph convolutional network and convolutional neural network
por: Wang, Shui-Hua, et al.
Publicado: (2021)

To pretrain or not? A systematic analysis of the benefits of pretraining in diabetic retinopathy
por: Srinivasan, Vignesh, et al.
Publicado: (2022)

Deep convolutional neural network–based image classification for COVID-19 diagnosis
por: Tharsanee, R.M., et al.
Publicado: (2021)

Leveraging Attention-Based Convolutional Neural Networks for Meningioma Classification in Computational Histopathology
por: Sehring, Jannik, et al.
Publicado: (2023)

Centered Kernel Alignment Enhancing Neural Network Pretraining for MRI-Based Dementia Diagnosis
por: Cárdenas-Peña, David, et al.
Publicado: (2016)

Automated Pulmonary Nodule Classification in Computed Tomography Images Using a Deep Convolutional Neural Network Trained by Generative Adversarial Networks
por: Onishi, Yuya, et al.
Publicado: (2019)

Convolutional neural networks improve fungal classification
por: Vu, Duong, et al.
Publicado: (2020)

Multi-view classification with convolutional neural networks
por: Seeland, Marco, et al.
Publicado: (2021)

Deep convolutional neural networks to predict cardiovascular risk from computed tomography
por: Zeleznik, Roman, et al.
Publicado: (2021)

Recurrent Convolutional Neural Networks for 3D Mandible Segmentation in Computed Tomography
por: Qiu, Bingjiang, et al.
Publicado: (2021)

COVID-19 Classification Based on Deep Convolution Neural Network Over a Wireless Network
por: Shalaby, Wafaa A., et al.
Publicado: (2021)

Denoise Pretraining on Nonequilibrium Molecules for Accurate and Transferable Neural Potentials
por: Wang, Yuyang, et al.
Publicado: (2023)

Neural Data Transformer 2: Multi-context Pretraining for Neural Spiking Activity
por: Ye, Joel, et al.
Publicado: (2023)

Evaluation of an Automatic Classification Algorithm Using Convolutional Neural Networks in Oncological Positron Emission Tomography
por: Pinochet, Pierre, et al.
Publicado: (2021)

Uncertainty-aware convolutional neural network for COVID-19 X-ray images classification
por: Gour, Mahesh, et al.
Publicado: (2022)

Efficient and visualizable convolutional neural networks for COVID-19 classification using Chest CT
por: Garg, Aksh, et al.
Publicado: (2022)

Classification of divorce causes during the COVID-19 pandemic using convolutional neural networks
por: Bramantoro, Arif, et al.
Publicado: (2022)

A Convolutional Neural Network and Graph Convolutional Network Based Framework for AD Classification
por: Lin, Lan, et al.
Publicado: (2023)

Robust Computationally-Efficient Wireless Emitter Classification Using Autoencoders and Convolutional Neural Networks
por: Almazrouei, Ebtesam, et al.
Publicado: (2021)

Bayesian neural network with pretrained protein embedding enhances prediction accuracy of drug-protein interaction
por: Kim, QHwan, et al.
Publicado: (2021)

Document Network Projection in Pretrained Word Embedding Space
por: Gourru, Antoine, et al.
Publicado: (2020)

Brain Network Analysis and Classification Based on Convolutional Neural Network
por: Meng, Lu, et al.
Publicado: (2018)

Rib fracture detection in computed tomography images using deep convolutional neural networks
por: Kaiume, Masafumi, et al.
Publicado: (2021)

Semantic Segmentation of Extraocular Muscles on Computed Tomography Images Using Convolutional Neural Networks
por: Shanker, Ramkumar Rajabathar Babu Jai, et al.
Publicado: (2022)

Classification of White Blood Cells: A Comprehensive Study Using Transfer Learning Based on Convolutional Neural Networks
por: Tamang, Thinam, et al.
Publicado: (2022)

Gas Classification Using Deep Convolutional Neural Networks
por: Peng, Pai, et al.
Publicado: (2018)

Atrial fibrillation classification based on convolutional neural networks
por: Lee, Kwang-Sig, et al.
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_pev6pl9mj6emb1b81hi1cbhd2p