Cargando…

Pulmonary COVID-19: Learning Spatiotemporal Features Combining CNN and LSTM Networks for Lung Ultrasound Video Classification

Deep Learning is a very active and important area for building Computer-Aided Diagnosis (CAD) applications. This work aims to present a hybrid model to classify lung ultrasound (LUS) videos captured by convex transducers to diagnose COVID-19. A Convolutional Neural Network (CNN) performed the extrac...

Descripción completa

Detalles Bibliográficos
Autores principales:	Barros, Bruno, Lacerda, Paulo, Albuquerque, Célio, Conci, Aura
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8401701/ https://www.ncbi.nlm.nih.gov/pubmed/34450928 http://dx.doi.org/10.3390/s21165486

Ejemplares similares

Hyperparameter Optimization for COVID-19 Pneumonia Diagnosis Based on Chest CT
por: Lacerda, Paulo, et al.
Publicado: (2021)

A Deep CNN-LSTM Framework for Fast Video Coding
por: Bouaafia, Soulef, et al.
Publicado: (2020)

CNN-LSTM Hybrid Model for Kinematic Feature Analysis and Parabolic Radian Prediction in Basketball Videos
por: Rong, Ji, et al.
Publicado: (2021)

CNN-Bi-LSTM: A Complex Environment-Oriented Cattle Behavior Classification Network Based on the Fusion of CNN and Bi-LSTM
por: Gao, Guohong, et al.
Publicado: (2023)

Facial expression recognition in videos using hybrid CNN & ConvLSTM
por: Singh, Rajesh, et al.
Publicado: (2023)

Retracted: CNN-LSTM Hybrid Model for Kinematic Feature Analysis and Parabolic Radian Prediction in Basketball Videos
por: Intelligence and Neuroscience, Computational
Publicado: (2023)

ECG signal classification based on deep CNN and BiLSTM
por: Cheng, Jinyong, et al.
Publicado: (2021)

NLOS Identification in WLANs Using Deep LSTM with CNN Features
por: Nguyen, Viet-Hung, et al.
Publicado: (2018)

Classification of Mental Stress Using CNN-LSTM Algorithms with Electrocardiogram Signals
por: Kang, Mingu, et al.
Publicado: (2021)

A hybrid CNN-LSTM model for pre-miRNA classification
por: Tasdelen, Abdulkadir, et al.
Publicado: (2021)

EEG-based emotion recognition using hybrid CNN and LSTM classification
por: Chakravarthi, Bhuvaneshwari, et al.
Publicado: (2022)

Detection of Corona Faults in Switchgear by Using 1D-CNN, LSTM, and 1D-CNN-LSTM Methods
por: Mohammed Alsumaidaee, Yaseen Ahmed, et al.
Publicado: (2023)

CNN-LSTM Model for Recognizing Video-Recorded Actions Performed in a Traditional Chinese Exercise
Publicado: (2023)

Combined CNN and Pixel Feature Image for Fatty Liver Ultrasound Image Classification
por: Zhu, Haijiang, et al.
Publicado: (2022)

Research on sentiment classification for netizens based on the BERT-BiLSTM-TextCNN model
por: Jiang, Xuchu, et al.
Publicado: (2022)

EEG-fNIRS-based hybrid image construction and classification using CNN-LSTM
por: Mughal, Nabeeha Ehsan, et al.
Publicado: (2022)

A CNN-LSTM model for six human ankle movements classification on different loads
por: Li, Min, et al.
Publicado: (2023)

Automated Lung Sound Classification Using a Hybrid CNN-LSTM Network and Focal Loss Function
por: Petmezas, Georgios, et al.
Publicado: (2022)

Predicting Geolocation of Tweets: Using Combination of CNN and BiLSTM
por: Mahajan, Rhea, et al.
Publicado: (2021)

Development of CNN-LSTM combinational architecture for COVID-19 detection
por: Narula, Abhinav, et al.
Publicado: (2022)

Using cascade CNN-LSTM-FCNs to identify AI-altered video based on eye state sequence
por: Saealal, Muhammad Salihin, et al.
Publicado: (2022)

CNN-LSTM vs. LSTM-CNN to Predict Power Flow Direction: A Case Study of the High-Voltage Subnet of Northeast Germany
por: Aksan, Fachrizal, et al.
Publicado: (2023)

Research on DNA-Binding Protein Identification Method Based on LSTM-CNN Feature Fusion
por: Lu, Weizhong, et al.
Publicado: (2022)

Utilizing CNN-LSTM techniques for the enhancement of medical systems
por: Rayan, Alanazi, et al.
Publicado: (2023)

CNN and LSTM-Based Emotion Charting Using Physiological Signals
por: Dar, Muhammad Najam, et al.
Publicado: (2020)

Attention Based CNN-ConvLSTM for Pedestrian Attribute Recognition
por: Li, Yang, et al.
Publicado: (2020)

Intelligent automatic sleep staging model based on CNN and LSTM
por: Zhuang, Lan, et al.
Publicado: (2022)

The Evaluation on the Credit Risk of Enterprises with the CNN-LSTM-ATT Model
por: Zhang, Lei
Publicado: (2022)

An integrated autoencoder-based hybrid CNN-LSTM model for COVID-19 severity prediction from lung ultrasound()
por: Dastider, Ankan Ghosh, et al.
Publicado: (2021)

Spatiotemporal feature extraction and classification of Alzheimer’s disease using deep learning 3D-CNN for fMRI data
por: Parmar, Harshit, et al.
Publicado: (2020)

CL-ACP: a parallel combination of CNN and LSTM anticancer peptide recognition model
por: Wang, Huiqing, et al.
Publicado: (2021)

Network Intrusion Detection Method Combining CNN and BiLSTM in Cloud Computing Environment
por: Gao, Jing
Publicado: (2022)

Electrocardiogram generation with a bidirectional LSTM-CNN generative adversarial network
por: Zhu, Fei, et al.
Publicado: (2019)

Automatic Detection of Atrial Fibrillation Based on CNN-LSTM and Shortcut Connection
por: Ping, Yongjie, et al.
Publicado: (2020)

CNN-LSTM-Based Prognostics of Bidirectional Converters for Electric Vehicles’ Machine
por: Rojas-Dueñas, Gabriel, et al.
Publicado: (2021)

Automatic Diagnosis of Schizophrenia in EEG Signals Using CNN-LSTM Models
por: Shoeibi, Afshin, et al.
Publicado: (2021)

Language Processing Model Construction and Simulation Based on Hybrid CNN and LSTM
por: Zhang, Shujing
Publicado: (2021)

Attention based automated radiology report generation using CNN and LSTM
por: Sirshar, Mehreen, et al.
Publicado: (2022)

Aeroengine Working Condition Recognition Based on MsCNN-BiLSTM
por: Zheng, Jinsong, et al.
Publicado: (2022)

Solar Power Prediction Using Dual Stream CNN-LSTM Architecture
por: Alharkan, Hamad, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_ru2sjqteausfh0lt8i93ch2n0v