Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Sensitivity, Specificity, and Predicted Value01:13

Sensitivity, Specificity, and Predicted Value

411
In healthcare diagnostics, laboratory tests play a crucial role in identifying and diagnosing a wide range of medical conditions. However, interpreting test results is not always straightforward. An abnormal test result does not always confirm the presence of a disease, just as a normal result does not guarantee its absence. To assess the reliability of these diagnostic tools, healthcare practitioners rely on two key statistical indicators: sensitivity and specificity.
Sensitivity is the...
411
Assessment of Ventilation II: Respiratory Depth and Rhythm01:29

Assessment of Ventilation II: Respiratory Depth and Rhythm

1.5K
Respiratory Depth
Respiratory depth measures the volume of air inhaled or exhaled during a breath. It can vary from shallow to deep and typically remains consistent when a person is at rest or asleep. Occasionally, individuals will automatically inhale deeply, known as sighing, which inflates the lungs with more air than normal breathing.
To assess respiratory depth, observe the degree of chest excursion or movement:
1.5K
Classification of Signals01:30

Classification of Signals

476
In signal processing, signals are classified based on various characteristics: continuous-time versus discrete-time, periodic versus aperiodic, analog versus digital, and causal versus noncausal. Each category highlights distinct properties crucial for understanding and manipulating signals.
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
476
Mean Absolute Deviation01:13

Mean Absolute Deviation

2.6K
The mean absolute deviation is also a measure of the variability of data in a sample. It is the absolute value of the average difference between the data values and the mean.
Let us consider a dataset containing the number of unsold cupcakes in five shops: 10, 15, 8, 7, and 10. Initially, calculate the sample mean. Then calculate the deviation, or the difference, between each data value and the mean. Next, the absolute values of these deviations are added and divided by the sample size to...
2.6K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Nanocomposite hydrogel incorporating Arnica montana extract, propolis-loaded chitosan nanoparticles, and menstrual blood-derived mesenchymal stem cells for allergic rhinitis therapy.

Journal of materials science. Materials in medicine·2025
Same author

Effect of Akson Therapy on Acoustic Parameters in Patients with Functional Dysphonia.

Noise & health·2024
Same author

Advancing Sensitivity in Guided-Wave Surface Plasmon Resonance Sensor through Integration of 2D BlueP/MoS<sub>2</sub> Hybrid Layers.

Biosensors·2024
Same author

Hydroxysafflor yellow A attenuates allergic response of ovalbumin induced allergic rhinitis via Nrf2/HO-1 and inflammatory signaling pathways.

Environmental toxicology·2023
Same author

Ononin Shows Anticancer Activity Against Laryngeal Cancer <i>via</i> the Inhibition of ERK/JNK/p38 Signaling Pathway.

Frontiers in oncology·2022
Same author

Genome-wide identification of mitogen-activated protein kinase (MAPK) gene family in yellow catfish (Pelteobagrus fulviadraco) and their expression profiling under the challenge of Aeromonas hydrophila.

Journal of fish biology·2022

Related Experiment Video

Updated: Jul 10, 2025

Comparing Objective Conjunctival Hyperemia Grading and the Ocular Surface Disease Index Score in Dry Eye Syndrome During COVID-19
06:29

Comparing Objective Conjunctival Hyperemia Grading and the Ocular Surface Disease Index Score in Dry Eye Syndrome During COVID-19

Published on: May 25, 2022

2.4K

Severity Assessment of COVID-19 Based on Feature Extraction and V-Descriptors.

Ben Ye1, Xixi Yuan1, Zhanchuan Cai1

  • 1Faculty of Information TechnologyMacau University of Science and Technology Macau 999078 China.

IEEE Transactions on Industrial Informatics
|November 20, 2023
PubMed
Summary

This study introduces a new method for assessing coronavirus disease (COVID-19) severity using chest CT scans. The technique identifies lung infection features for more accurate COVID-19 severity estimation.

Keywords:
Computed tomography (CT) imagesV-descriptorscoronavirus disease (COVID-19)feature extractionseverity assessment

More Related Videos

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
14:27

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

15.7K
A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare
06:34

A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare

Published on: July 7, 2023

2.4K

Related Experiment Videos

Last Updated: Jul 10, 2025

Comparing Objective Conjunctival Hyperemia Grading and the Ocular Surface Disease Index Score in Dry Eye Syndrome During COVID-19
06:29

Comparing Objective Conjunctival Hyperemia Grading and the Ocular Surface Disease Index Score in Dry Eye Syndrome During COVID-19

Published on: May 25, 2022

2.4K
Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
14:27

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

15.7K
A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare
06:34

A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare

Published on: July 7, 2023

2.4K

Area of Science:

  • Medical Imaging
  • Artificial Intelligence
  • Radiology

Background:

  • Digital image feature recognition is crucial for industrial applications including medical diagnosis.
  • Accurate assessment of coronavirus disease (COVID-19) severity is vital for patient management.

Purpose of the Study:

  • To propose a novel method for identifying rich features of lung infections in chest CT images.
  • To develop an effective technology for assessing COVID-19 severity based on extracted image features.

Main Methods:

  • Segmentation of bilateral lungs from chest CT images.
  • Extraction of texture features (coarseness, contrast, roughness, entropy) from infected lung regions.
  • Fusion of texture features and V-descriptors for COVID-19 severity estimation.

Main Results:

  • Demonstrated feature extraction and lung lesion segmentation on COVID-19 CT images.
  • V-descriptors showed effective lesion contour reconstruction compared to other methods.
  • The proposed assessment descriptor accurately reflects infected ratio and lesion density.

Conclusions:

  • The developed method accurately estimates COVID-19 severity by analyzing lung infection features in CT scans.
  • The fused feature descriptor provides a reliable measure for assessing disease severity.