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 Experiment Video

Updated: Aug 27, 2025

The Quantification of Injectability by Mechanical Testing
04:46

The Quantification of Injectability by Mechanical Testing

Published on: May 13, 2020

8.1K

A robust defect detection method for syringe scale without positive samples.

Xiaodong Wang1, Xianwei Xu1, Yanli Wang1

  • 1College of Computer and Information Engineering, Xiamen University of Technology, Xiamen, 361024 China.

The Visual Computer
|October 3, 2022
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

miR-217/Mafb Axis Involve in High Glucose-Induced β-TC-tet Cell Damage Via Regulating NF-κB Signaling Pathway.

Biochemical genetics·2020
Same author

Fasciclin-like arabinogalactan gene family in Nicotiana benthamiana: genome-wide identification, classification and expression in response to pathogens.

BMC plant biology·2020
Same author

Discovery of Two Novel Negeviruses in a Dungfly Collected from the Arctic.

Viruses·2020
Same author

The OsGSK2 Kinase Integrates Brassinosteroid and Jasmonic Acid Signaling by Interacting with OsJAZ4.

The Plant cell·2020
Same author

Interleukin (IL)-33: an orchestrator of immunity from host defence to tissue homeostasis.

Clinical & translational immunology·2020
Same author

Higher Iodine Concentration Enables Radiation Dose Reduction in Coronary CT Angiography.

Academic radiology·2020
Same journal

Simple tone curves: theory and applications.

The Visual computer·2026
Same journal

Transformer-based arterial spin labeling perfusion MRI denoising.

The Visual computer·2025
Same journal

SAL3D: a model for saliency prediction in 3D meshes.

The Visual computer·2024
Same journal

Histogram equalization using a selective filter.

The Visual computer·2023
Same journal

3D objects reconstruction from frontal images: an example with guitars.

The Visual computer·2023
Same journal

Local attention and long-distance interaction of rPPG for deepfake detection.

The Visual computer·2023
See all related articles

This study introduces a new method for detecting scale defects on medical syringes using only negative samples. This approach overcomes limitations of existing methods, improving syringe production efficiency.

Area of Science:

  • Manufacturing Engineering
  • Medical Device Technology
  • Computer Vision

Background:

  • The COVID-19 pandemic significantly increased demand for medical syringes.
  • Scale defects are a common issue hindering syringe production.
  • Existing detection methods require large datasets and struggle with diverse defects.

Purpose of the Study:

  • To develop a robust scale defect detection method for syringes using only negative samples.
  • To improve the efficiency and reliability of syringe manufacturing processes.
  • To address the limitations of conventional batch-mode defect detection.

Main Methods:

  • A two-stage framework was proposed, comprising a scale extraction network (SeNet) and a scale defect discriminator.
  • The SeNet, utilizing convolutional neural networks, extracts the primary scale structure.
Keywords:
Deep learningDefect detectionImage processingImage segmentation

More Related Videos

High-throughput and Comprehensive Drug Surveillance Using Multisegment Injection-Capillary Electrophoresis-Mass Spectrometry
10:17

High-throughput and Comprehensive Drug Surveillance Using Multisegment Injection-Capillary Electrophoresis-Mass Spectrometry

Published on: April 23, 2019

9.8K
Generation of Alpha-Synuclein Preformed Fibrils from Monomers and Use In Vivo
09:44

Generation of Alpha-Synuclein Preformed Fibrils from Monomers and Use In Vivo

Published on: June 2, 2019

21.6K

Related Experiment Videos

Last Updated: Aug 27, 2025

The Quantification of Injectability by Mechanical Testing
04:46

The Quantification of Injectability by Mechanical Testing

Published on: May 13, 2020

8.1K
High-throughput and Comprehensive Drug Surveillance Using Multisegment Injection-Capillary Electrophoresis-Mass Spectrometry
10:17

High-throughput and Comprehensive Drug Surveillance Using Multisegment Injection-Capillary Electrophoresis-Mass Spectrometry

Published on: April 23, 2019

9.8K
Generation of Alpha-Synuclein Preformed Fibrils from Monomers and Use In Vivo
09:44

Generation of Alpha-Synuclein Preformed Fibrils from Monomers and Use In Vivo

Published on: June 2, 2019

21.6K
  • The discriminator identifies and labels scale defects.

    • Main Results:

    • Experiments were conducted on a real-world syringe dataset.
    • The proposed method achieved a high F1 score of 99.7%.
    • The results demonstrate the method's effectiveness and robustness.

    Conclusions:

    • The developed method offers a highly effective solution for scale defect detection in syringes.
    • This approach enables efficient production by overcoming limitations of existing methods.
    • The technique shows significant promise for quality control in medical device manufacturing.