Cargando…

Prediction of Omicron Virus Using Combined Extended Convolutional and Recurrent Neural Networks Technique on CT-Scan Images

COVID-19 has sparked a global pandemic, with a variety of inflamed instances and deaths increasing on an everyday basis. Researchers are actively increasing and improving distinct mathematical and ML algorithms to forecast the infection. The prediction and detection of the Omicron variant of COVID-1...

Descripción completa

Detalles Bibliográficos
Autores principales:	Gupta, Anand Kumar, Srinivasulu, Asadi, Hiran, Kamal Kant, Sreenivasulu, Goddindla, Rajeyyagari, Sivaram, Subramanyam, Madhusudhana
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi 2022
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9763984/ https://www.ncbi.nlm.nih.gov/pubmed/36562006 http://dx.doi.org/10.1155/2022/1525615

Ejemplares similares

COVID-19 Data Analytics Using Extended Convolutional Technique
por: Gupta, Anand Kumar, et al.
Publicado: (2022)

Automatic bolus tracking in abdominal CT scans with convolutional neural networks
por: Li, Angela T., et al.
Publicado: (2023)

Automated detection of COVID-19 from CT scan using convolutional neural network
por: Mishra, Narendra Kumar, et al.
Publicado: (2021)

Automatic segmentation of inner ear on CT-scan using auto-context convolutional neural network
por: Hussain, Raabid, et al.
Publicado: (2021)

Convolutional neural network based CT scan classification method for COVID-19 test validation
por: Soni, Mukesh, et al.
Publicado: (2022)

A depthwise separable dense convolutional network with convolution block attention module for COVID-19 diagnosis on CT scans
por: Li, Qian, et al.
Publicado: (2021)

Convolutional Neural Networks and Geometric Moments to Identify the Bilateral Symmetric Midplane in Facial Skeletons from CT Scans
por: Dalvit Carvalho da Silva, Rodrigo, et al.
Publicado: (2021)

COVision: convolutional neural network for the differentiation of COVID−19 from common pulmonary conditions using CT scans
por: Parikh, Kush V., et al.
Publicado: (2023)

A stacked convolutional neural network for detecting the resource tweets during a disaster
por: Madichetty, Sreenivasulu, et al.
Publicado: (2020)

Towards subject-level cerebral infarction classification of CT scans using convolutional networks
por: Schultheiss, Manuel, et al.
Publicado: (2020)

Usefulness of PET-CT scan in recurrent thyroid cancer
por: Dionigi, Gianlorenzo, et al.
Publicado: (2020)

Automated detection of COVID-19 using ensemble of transfer learning with deep convolutional neural network based on CT scans
por: gifani, Parisa, et al.
Publicado: (2020)

X-ray and CT-scan-based automated detection and classification of covid-19 using convolutional neural networks (CNN)
por: Thakur, Samritika, et al.
Publicado: (2021)

COVID-19 infection prediction from CT scan images of lungs using Iterative Convolution Neural Network model
por: M, Madhavi, 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 approach to the classification of COVID-19 based on CT scans using convolutional features and genetic algorithms
por: Carvalho, Edson D., et al.
Publicado: (2021)

Lung Nodule Malignancy Prediction From Longitudinal CT Scans With Siamese Convolutional Attention Networks
Publicado: (2020)

Artificial Intelligence-Based Smart Comrade Robot for Elders Healthcare with Strait Rescue System
por: Dilip, Golda, et al.
Publicado: (2022)

Classification of lung nodules in CT scans using three-dimensional deep convolutional neural networks with a checkpoint ensemble method
por: Jung, Hwejin, et al.
Publicado: (2018)

Automatic distinction between COVID-19 and common pneumonia using multi-scale convolutional neural network on chest CT scans
por: Yan, Tao, et al.
Publicado: (2020)

Convolutional-neural-network-based diagnosis of appendicitis via CT scans in patients with acute abdominal pain presenting in the emergency department
por: Park, Jin Joo, et al.
Publicado: (2020)

Deep Convolutional Neural Network–Based Computer-Aided Detection System for COVID-19 Using Multiple Lung Scans: Design and Implementation Study
por: Ghaderzadeh, Mustafa, et al.
Publicado: (2021)

Is CT scan a predictor of instability in recurrent dislocation shoulder?
por: Shijith, K.P., et al.
Publicado: (2019)

A joint convolutional-recurrent neural network with an attention mechanism for detecting intracranial hemorrhage on noncontrast head CT
por: Alis, Deniz, et al.
Publicado: (2022)

The role of convolutional neural networks in scanning probe microscopy: a review
por: Azuri, Ido, et al.
Publicado: (2021)

Genome-wide scans for selective sweeps using convolutional neural networks
por: Zhao, Hanqing, et al.
Publicado: (2023)

Automated Placement of Scan and Pre-Scan Volumes for Breast MRI Using a Convolutional Neural Network
por: Allen, Timothy J., et al.
Publicado: (2023)

Segmentation of dental cone‐beam CT scans affected by metal artifacts using a mixed‐scale dense convolutional neural network
por: Minnema, Jordi, et al.
Publicado: (2019)

Evolving deep convolutional neural networks by IP-based marine predator algorithm for COVID-19 diagnosis using chest CT scans
por: Liu, Bing, et al.
Publicado: (2022)

COVID-19 diagnosis using chest CT scans and deep convolutional neural networks evolved by IP-based sine-cosine algorithm
por: Xu, Binfeng, et al.
Publicado: (2022)

Accurate and Efficient Intracranial Hemorrhage Detection and Subtype Classification in 3D CT Scans with Convolutional and Long Short-Term Memory Neural Networks
por: Burduja, Mihail, et al.
Publicado: (2020)

COV-RadNet: A Deep Convolutional Neural Network for Automatic Detection of COVID-19 from Chest X-Rays and CT Scans
por: Islam, Md. Khairul, et al.
Publicado: (2022)

Automated segmentation of head CT scans for computer-assisted craniomaxillofacial surgery applying a hierarchical patch-based stack of convolutional neural networks
por: Steybe, David, et al.
Publicado: (2022)

Direct inference of Patlak parametric images in whole-body PET/CT imaging using convolutional neural networks
por: Zaker, Neda, et al.
Publicado: (2022)

Deepfake video detection: YOLO-Face convolution recurrent approach
por: Ismail, Aya, et al.
Publicado: (2021)

Polyp Segmentation with Fully Convolutional Deep Neural Networks—Extended Evaluation Study †
por: Guo, Yunbo, et al.
Publicado: (2020)

Enhancing Disease Classification in Abdominal CT Scans through RGB Superposition Methods and 2D Convolutional Neural Networks: A Study of Appendicitis and Diverticulitis
por: Lee, Gi Pyo, et al.
Publicado: (2023)

Exploiting probability density function of deep convolutional autoencoders’ latent space for reliable COVID-19 detection on CT scans
por: Sarv Ahrabi, Sima, et al.
Publicado: (2022)

Double attention recurrent convolution neural network for answer selection
por: Bao, Ganchao, et al.
Publicado: (2020)

Scanning the RBD-ACE2 molecular interactions in Omicron variant
por: Rath, Soumya Lipsa, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_9u4q2kpa3527i4a1fajgd7jvfo