Cargando…

Detecting COVID-19 infection status from chest X-ray and CT scan via single transfer learning-driven approach

COVID-19 has caused over 528 million infected cases and over 6.25 million deaths since its outbreak in 2019. The uncontrolled transmission of the SARS-CoV-2 virus has caused human suffering and the death of uncountable people. Despite the continuous effort by the researchers and laboratories, it has...

Descripción completa

Detalles Bibliográficos
Autores principales:	Ghose, Partho, Alavi, Muhaddid, Tabassum, Mehnaz, Ashraf Uddin, Md., Biswas, Milon, Mahbub, Kawsher, Gaur, Loveleen, Mallik, Saurav, Zhao, Zhongming
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Genetics
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9533058/ https://www.ncbi.nlm.nih.gov/pubmed/36212141 http://dx.doi.org/10.3389/fgene.2022.980338

Ejemplares similares

Deep features to detect pulmonary abnormalities in chest X-rays due to infectious diseaseX: Covid-19, pneumonia, and tuberculosis
por: Mahbub, Md. Kawsher, et al.
Publicado: (2022)

Explanation-Driven Deep Learning Model for Prediction of Brain Tumour Status Using MRI Image Data
por: Gaur, Loveleen, et al.
Publicado: (2022)

Deep viewing for the identification of Covid-19 infection status from chest X-Ray image using CNN based architecture
por: Ghose, Partho, et al.
Publicado: (2022)

Auguring Fake Face Images Using Dual Input Convolution Neural Network
por: Bhandari, Mohan, et al.
Publicado: (2022)

A deep learning approach using effective preprocessing techniques to detect COVID-19 from chest CT-scan and X-ray images
por: Ahamed, Khabir Uddin, et al.
Publicado: (2021)

Indication and use of chest X-ray scans in the ICU
por: Shastri, P, et al.
Publicado: (2008)

ConGEMs: Condensed Gene Co-Expression Module Discovery Through Rule-Based Clustering and Its Application to Carcinogenesis
por: Mallik, Saurav, et al.
Publicado: (2017)

Identification of gene signatures from RNA-seq data using Pareto-optimal cluster algorithm
por: Mallik, Saurav, et al.
Publicado: (2018)

Multi-Objective Optimized Fuzzy Clustering for Detecting Cell Clusters from Single-Cell Expression Profiles
por: Mallik, Saurav, et al.
Publicado: (2019)

Detecting methylation signatures in neurodegenerative disease by density-based clustering of applications with reducing noise
por: Mallik, Saurav, et al.
Publicado: (2020)

When are chest X-ray scans performed in the emergency department useful?
por: Johnston, JE
Publicado: (2008)

Comparing CT scan and chest X-ray imaging for COVID-19 diagnosis
por: Benmalek, Elmehdi, et al.
Publicado: (2021)

Accuracy of Low-Dose Chest CT Scan in Detection of COVID-19
por: Bahrami-Motlagh, Hooman, et al.
Publicado: (2020)

COVID-19 and MERS: Are their Chest X-ray and Computed Tomography Scanning Signs Related?
por: Ghaderian, Mohammad, et al.
Publicado: (2021)

Spectrum of HRCT Scan Chest Findings in COVID-19 Patients as Categorized by Modified CO-RADS Classification
por: Tabassum, Sumera, et al.
Publicado: (2022)

An Overview of Deep Learning Techniques on Chest X-Ray and CT Scan Identification of COVID-19
por: Serena Low, Woan Ching, et al.
Publicado: (2021)

X-ray dark-field chest radiography: a reader study to evaluate the diagnostic quality of attenuation chest X-rays from a dual-contrast scanning prototype
por: Kattau, Margarete, et al.
Publicado: (2023)

A Linear Regression and Deep Learning Approach for Detecting Reliable Genetic Alterations in Cancer Using DNA Methylation and Gene Expression Data
por: Mallik, Saurav, et al.
Publicado: (2020)

Dimensionality Reduction and Louvain Agglomerative Hierarchical Clustering for Cluster-Specified Frequent Biomarker Discovery in Single-Cell Sequencing Data
por: Seth , Soumita, et al.
Publicado: (2022)

Comparison of five supervised feature selection algorithms leading to top features and gene signatures from multi-omics data in cancer
por: Bhadra, Tapas, et al.
Publicado: (2022)

Internet of Things: approach and applicability in manufacturing
por: Ramakrishnan, Ravi, et al.
Publicado: (2019)

Automated Detection of Covid-19 from Chest X-ray scans using an optimized CNN architecture
por: Pathan, Sameena, et al.
Publicado: (2021)

SEL-COVIDNET: An intelligent application for the diagnosis of COVID-19 from chest X-rays and CT-scans
por: Smadi, Ahmad Al, et al.
Publicado: (2022)

Novel Comparative Study for the Detection of COVID-19 Using CT Scan and Chest X-ray Images
por: Hayat, Ahatsham, et al.
Publicado: (2023)

Automatic detection of COVID-19 from chest CT scan and chest X-Rays images using deep learning, transfer learning and stacking
por: Jangam, Ebenezer, et al.
Publicado: (2021)

Designing optimal convolutional neural network architecture using differential evolution algorithm
por: Ghosh, Arjun, et al.
Publicado: (2022)

Multi-task driven explainable diagnosis of COVID-19 using chest X-ray images
por: Malhotra, Aakarsh, et al.
Publicado: (2022)

COVID-19 Detection from Chest X-rays Using Trained Output Based Transfer Learning Approach
por: Kumar, Sanjay, et al.
Publicado: (2022)

Detecting COVID-19 from chest computed tomography scans using AI-driven android application
por: Verma, Aryan, et al.
Publicado: (2022)

Artificial Intelligence and COVID-19 Using Chest CT Scan and Chest X-ray Images: Machine Learning and Deep Learning Approaches for Diagnosis and Treatment
por: Fusco, Roberta, et al.
Publicado: (2021)

Deep neural network to detect COVID-19: one architecture for both CT Scans and Chest X-rays
por: Mukherjee, Himadri, et al.
Publicado: (2020)

Radiological profile of patients undergoing Chest X-ray and computed tomography scans during COVID-19 outbreak
por: Khan, Sohail Ahmed, et al.
Publicado: (2021)

Ensemble deep honey architecture for COVID-19 prediction using CT scan and chest X-ray images
por: Reddy, B. Bhaskar, et al.
Publicado: (2023)

Deep Learning-Based Classification of Chest Diseases Using X-rays, CT Scans, and Cough Sound Images
por: Malik, Hassaan, et al.
Publicado: (2023)

Optimal ranking and directional signature classification using the integral strategy of multi-objective optimization-based association rule mining of multi-omics data
por: Mallik, Saurav, et al.
Publicado: (2023)

INTERPRETING CHEST X-RAYS
por: Worthington, Mark
Publicado: (2011)

AI-driven deep CNN approach for multi-label pathology classification using chest X-Rays
por: Albahli, Saleh, et al.
Publicado: (2021)

In silico ranking of phenolics for therapeutic effectiveness on cancer stem cells
por: Mandal, Monalisa, et al.
Publicado: (2020)

Computational learning of features for automated colonic polyp classification
por: Bora, Kangkana, et al.
Publicado: (2021)

A Deep Learning–Based Framework for Supporting Clinical Diagnosis of Glioblastoma Subtypes
por: Munquad, Sana, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_beil2c25ijjobr5k1j0ve9njgn