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

Multiple Comparison Tests01:13

Multiple Comparison Tests

Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
Wilcoxon Signed-Ranks Test for Matched Pairs01:09

Wilcoxon Signed-Ranks Test for Matched Pairs

The Wilcoxon signed-rank test for matched pairs evaluates the null hypothesis by combining the ranks of differences with their signs. It essentially tests whether the median of the differences in a population of matched pairs is zero. Since the test incorporates more information than the sign test, it generally yields more trustable conclusions. This test also does not require the data to follow a normal distribution, but two conditions must be met for it to be applicable: (1) the data must...

You might also read

Related Articles

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

Sort by
Same author

Real-Time 3-D Video Reconstruction for Guidance of Transventricular Neurosurgery.

IEEE transactions on medical robotics and bionics·2025
Same author

The quiet eye phenomenon in minimally invasive surgery.

International journal of computer assisted radiology and surgery·2025
Same author

Self-Supervised Feature Detection and 3D Reconstruction for Real-Time Neuroendoscopic Guidance.

IEEE transactions on bio-medical engineering·2025
Same author

Epidemiology of bacterial biofilms on polyps and normal tissues in a screening colonoscopy cohort.

Gut microbes·2025
Same author

Correcting for Rater Effects in Operating Room Surgical Skills Assessment.

The Laryngoscope·2024
Same author

Opportunities for Improving Glaucoma Clinical Trials via Deep Learning-Based Identification of Patients with Low Visual Field Variability.

Ophthalmology. Glaucoma·2024
Same journal

LLM-enhanced Neuron Segmentation and Reconstruction in Complex Mouse Brain Images.

IEEE transactions on medical imaging·2026
Same journal

Matrixed-Spectrum Decomposition Accelerated Linear Boltzmann Transport Equation Solver for Fast Scatter Correction in Multi-Spectral CT.

IEEE transactions on medical imaging·2026
Same journal

The Ritz Adjoint Method for MRI Pulse Design.

IEEE transactions on medical imaging·2026
Same journal

Physiology-guided Self-supervised Learning for Simultaneous Dual-Tracer PET Separation.

IEEE transactions on medical imaging·2026
Same journal

Informed-Exploration Reinforcement Learning for Automated Virtual Coronary Intervention Planning.

IEEE transactions on medical imaging·2026
Same journal

4D Reconstruction of Fetal Left Ventricle from Echocardiography via 2.5D Radial Segmentation and Graph-Fourier Reconstruction.

IEEE transactions on medical imaging·2026
See all related articles

Related Experiment Video

Updated: Jun 4, 2026

Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities
07:13

Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities

Published on: October 27, 2023

A meta method for image matching.

Sharmishtaa Seshamani1, Rajesh Kumar, Gerard Mullin

  • 1Department of Computer Science, Johns Hopkins University, Baltimore, MD 21218, USA. sharmi@cs.jhu.edu

IEEE Transactions on Medical Imaging
|February 26, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces a novel metamatching system for improved optical endoscopy image analysis. The system enhances Crohn's disease lesion detection accuracy in capsule endoscopy images.

Related Experiment Videos

Last Updated: Jun 4, 2026

Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities
07:13

Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities

Published on: October 27, 2023

Area of Science:

  • Medical Imaging
  • Computer Vision
  • Gastroenterology

Background:

  • Accurate image matching is crucial for diagnosing conditions like Crohn's disease in optical endoscopy.
  • Existing single-matcher systems face challenges in complex endoscopic scenes.

Purpose of the Study:

  • To develop and evaluate a novel metamatching system for enhanced image matching in optical endoscopy.
  • To improve the accuracy of Crohn's disease lesion detection in capsule endoscopy.

Main Methods:

  • A metamatching system integrating multiple independent matchers and a decision function was proposed.
  • Experiments involved matching Crohn's disease lesions in capsule endoscopy images using five matchers.
  • Six different decision functions were compared for performance optimization.

Main Results:

  • The metamatching system achieved an F-measure 4%-7% higher than the best single matcher, reaching a maximum of 0.811.
  • The system demonstrated robustness through validation with simulated, deformed endoscopic images.
  • Augmenting the training set with simulated data improved metamatcher performance by up to 10%.

Conclusions:

  • The proposed metamatching system significantly enhances image matching accuracy in optical endoscopy.
  • This approach offers a robust and improvable solution for complex endoscopic image analysis, particularly for Crohn's disease detection.