Related Experiment Video

Updated: Aug 24, 2025

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
08:05

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia

Published on: December 19, 2020

14.3K

Correction: A comparison of Covid-19 early detection between convolutional neural networks and radiologists

Alberto Albiol1, Francisco Albiol2,3, Roberto Paredes4

  • 1ETSI Telecomunicación, iTeam Institute, Universitat Politècnica València, Camino de Vera S/N, 46022, València, Spain. alalbiol@iteam.upv.es.

Insights Into Imaging
|October 20, 2022
PubMed
Abstract

No abstract available in PubMed .

More Related Videos

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

6.9K
Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer
07:53

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer

Published on: October 13, 2023

1.6K

Related Experiment Videos

Last Updated: Aug 24, 2025

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
08:05

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia

Published on: December 19, 2020

14.3K
Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

6.9K
Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer
07:53

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer

Published on: October 13, 2023

1.6K

Related Concept Videos

Receiver Operating Characteristic Plot01:15

Receiver Operating Characteristic Plot

313
A ROC (Receiver Operating Characteristic) plot is a graphical tool used to assess the performance of a binary classification model by illustrating the trade-off between sensitivity (true positive rate) and specificity (false positive rate). By plotting sensitivity against 1 - specificity across various threshold settings, the ROC curve shows how well the model distinguishes between classes, with a curve closer to the top-left corner indicating a more accurate model. The area under the ROC curve...
313

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

Management of pneumonia by the emergency radiologist.

European journal of radiology open·2026

ESR Essentials: blunt abdominal trauma in adult patients: vascular injuries to solid organs and mesentery-practice recommendations by the European Society of Emergency Radiology.

European radiology·2026

BRCA2 Pre-mRNA Differential 5' Splicing: A Rescue of Functional Protein Properties from Pathogenic Gene Variants and a Lifeline for Fanconi Anemia D1 Patients.

International journal of molecular sciences·2025

Assessment of sustainable compositions to reduce emissions and sound pressure level of flash powder.

Environmental pollution (Barking, Essex : 1987)·2025

Clinical prediction scale approach derived from a retrospective study to reduce the number of urgent, low-value cranial CT scans.

Emergency radiology·2024

Improving Radiology Report Generation Quality and Diversity through Reinforcement Learning and Text Augmentation.

Bioengineering (Basel, Switzerland)·2024

From fluid loss to calcification: MRI and CT matrix features in cystic echinococcosis.

Insights into imaging·2026

Inter-reader agreement in multimodality imaging of carotid plaque-RADS: considerations for modality selection.

Insights into imaging·2026

Delphi consensus of specialist radiologists on imaging criteria for gadolinium contrast use and whole-body MRI in prostate cancer.

Insights into imaging·2026

ANATOMIADI: a national, image-based anatomy competition for residents in Italy to enhance postgraduate education through interactive learning.

Insights into imaging·2026

A contrast-enhanced CMR-based risk score integrating microvascular obstruction and intramyocardial hemorrhage extent for prognostic evaluation.

Insights into imaging·2026

Performance of dual-layer spectral CT-based extracellular volume fraction to assess Ki-67 proliferation status in rectal cancer: comparison with diffusion kurtosis imaging.

Insights into imaging·2026

Beyond flickering: introducing code-modulated motion visual evoked potentials for brain-computer interfacing.

Frontiers in neuroergonomics·2026

Decoupled information-guided cross-modal alignment for visible-infrared person re-identification.

Neural networks : the official journal of the International Neural Network Society·2026

j-IR-vis: Vision model for infrared spectroscopy embeddings.

The Journal of chemical physics·2026

Memory color influences conscious object perception.

Neuroscience of consciousness·2026

D-SPECT combined with deep learning predicts obstructive coronary artery disease.

Frontiers in cardiovascular medicine·2026

Deep learning algorithms enable accurate identification of cassava varieties (Manihot esculenta Crantz) using image analysis.

Frontiers in plant science·2026
See all related articles
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
Jove
Visualize
Contact Us