Cargando…

COVID-19 Detection via Ultra-Low-Dose X-ray Images Enabled by Deep Learning

The detection of Coronavirus disease 2019 (COVID-19) is crucial for controlling the spread of the virus. Current research utilizes X-ray imaging and artificial intelligence for COVID-19 diagnosis. However, conventional X-ray scans expose patients to excessive radiation, rendering repeated examinatio...

Descripción completa

Detalles Bibliográficos
Autores principales:	Ahmad, Isah Salim, Li, Na, Wang, Tangsheng, Liu, Xuan, Dai, Jingjing, Chan, Yinping, Liu, Haoyang, Zhu, Junming, Kong, Weibin, Lu, Zefeng, Xie, Yaoqin, Liang, Xiaokun
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10669345/ https://www.ncbi.nlm.nih.gov/pubmed/38002438 http://dx.doi.org/10.3390/bioengineering10111314

Ejemplares similares

2D/3D Non-Rigid Image Registration via Two Orthogonal X-ray Projection Images for Lung Tumor Tracking
por: Dong, Guoya, et al.
Publicado: (2023)

Incorporating the synthetic CT image for improving the performance of deformable image registration between planning CT and cone-beam CT
por: Li, Na, et al.
Publicado: (2023)

A Novel CT Imaging System with Adjacent Double X-Ray Sources
por: An, Mou, et al.
Publicado: (2013)

Data science enables X-ray vision
por: Santos, David A., et al.
Publicado: (2022)

Multi-speckle X-ray photon correlation spectroscopy in the ultra-small-angle X-ray scattering range
por: Möller, Johannes, et al.
Publicado: (2016)

Ultra-soft X-ray system for imaging the early cellular responses to X-ray induced DNA damage
por: Kochan, Jakub A, et al.
Publicado: (2019)

A proposal for the generation ultra-short x-ray pulses
por: Zholents, A A, et al.
Publicado: (1994)

Enabling X-ray fluorescence imaging for in vivo immune cell tracking
por: Staufer, Theresa, et al.
Publicado: (2023)

Deep learning enables nanoscale X-ray 3D imaging with limited data
por: Zhao, Chonghang, et al.
Publicado: (2023)

Ultra-stable sub-meV monochromator for hard X-rays
por: Toellner, T. S., et al.
Publicado: (2015)

Synthesis, X-ray Opacity, and Biological Compatibility of Ultra-High Payload Elemental Bismuth Nanoparticle X-ray Contrast Agents
por: Brown, Anna L., et al.
Publicado: (2014)

Intramolecular charge transfer enables highly-efficient X-ray luminescence in cluster scintillators
por: Zhang, Nan, et al.
Publicado: (2023)

Combined evaluation of grazing incidence X-ray fluorescence and X-ray reflectivity data for improved profiling of ultra-shallow depth distributions()
por: Ingerle, D., et al.
Publicado: (2014)

Ultra-high-resolution inelastic X-ray scattering at high-repetition-rate self-seeded X-ray free-electron lasers
por: Chubar, Oleg, et al.
Publicado: (2016)

THE EFFECT OF ULTRA-VIOLET, X-RAY, AND RADIUM RADIATION ON THE TOXICITY OF NORMAL BLOOD
por: Macht, David I., et al.
Publicado: (1924)

On a possibility of an IR-FEL and an ultra-short X-ray source at DESY
por: Huang, Y, et al.
Publicado: (1995)

Will the ultra-low-dose intraoperative X-ray imager change thoracoscopic surgery?
por: Yamauchi, Yoshikane
Publicado: (2022)

Ultra Violet Rays
por: Macleod, E. C.
Publicado: (1904)

Ultra‐Thin SnO(x) Buffer Layer Enables High‐Efficiency Quantum Junction Photovoltaics
por: Jia, Yuwen, et al.
Publicado: (2022)

The Deep Effects of the "X" Rays
Publicado: (1897)

Relativistic and resonant effects in the ionization of heavy atoms by ultra-intense hard X-rays
por: Rudek, Benedikt, et al.
Publicado: (2018)

Ultra-small-angle X-ray photon correlation spectroscopy using the Eiger detector
por: Zinn, T., et al.
Publicado: (2018)

Early Evaluation of an Ultra-Portable X-ray System for Tuberculosis Active Case Finding
por: Vo, Luan Nguyen Quang, et al.
Publicado: (2021)

Brittle fracture studied by ultra-high-speed synchrotron X-ray diffraction imaging
por: Petit, Antoine, et al.
Publicado: (2022)

Graftable SCoMPIs enable the labeling and X-ray fluorescence imaging of proteins
por: Hostachy, Sarah, et al.
Publicado: (2018)

Detection of COVID-19 in Chest X-ray Images: A Big Data Enabled Deep Learning Approach
por: Awan, Mazhar Javed, et al.
Publicado: (2021)

A deep learning model enables accurate prediction and quantification of pulmonary edema from chest X-rays
por: Schulz, Dominik, et al.
Publicado: (2023)

High-resolution flexible X-ray luminescence imaging enabled by eco-friendly CuI scintillators
por: Hong, Zhongzhu, et al.
Publicado: (2022)

Disinfection by Ultra-Violet Rays
Publicado: (1914)

Periodic outbursts from the ultra-soft X-ray transient 4U 1630-47
por: Parmar, A N, et al.
Publicado: (1995)

On the characterization of ultra-precise X-ray optical components: advances and challenges in ex situ metrology
por: Siewert, F., et al.
Publicado: (2014)

Pinhole-type two-dimensional ultra-small-angle X-ray scattering on the micrometer scale
por: Kishimoto, Hiroyuki, et al.
Publicado: (2013)

A multipurpose instrument for time-resolved ultra-small-angle and coherent X-ray scattering
por: Narayanan, Theyencheri, et al.
Publicado: (2018)

Ultra-stable CsPbBr(3) Perovskite Nanosheets for X-Ray Imaging Screen
por: Wang, Liangling, et al.
Publicado: (2019)

Ultra-Bright X-Ray Generation using Inverse Compton Scattering of Picosecond CO$_2$ Laser Pulses
por: Tsunemi, A, et al.
Publicado: (1999)

Enhanced X-ray Dose Response of Radio-fluorescent Hydrogels Enabled by Persulfate Salts
por: Qin, Danni, et al.
Publicado: (2023)

COPD Exacerbations: To X-ray or Not To X-ray
por: Dewan, Naresh A.
Publicado: (2002)

Radiotherapy in Pyorrhœa Alveolaris, and Dental Radiography: A Demonstration of the X-Ray, the Ultra-Violet Ray, High-Frequency Currents, and Radium, the Author’s X-Ray Tube for the Treatment of the Teeth, and His Method of Radiography
por: Tousey, Sinclair
Publicado: (1904)

Effects of Grain Refinement and Thermal Aging on Atomic Scale Local Structures of Ultra-Fine Explosives by X-ray Total Scattering
por: Xing, Jiangtao, et al.
Publicado: (2022)

Ultra High Energy Cosmic Rays
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_0udh7jisq177f1lbl0p0qib6if