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

Endoscopic Procedures III: Video Capsule Endoscopy01:28

Endoscopic Procedures III: Video Capsule Endoscopy

910
Capsule endoscopy, or wireless or video capsule endoscopy, is a diagnostic procedure for examining the entire gastrointestinal tract. Patients swallow a capsule about the size of a vitamin tablet. The capsule is equipped with a transmitter, a battery, an LED light source, and a color video camera to capture images throughout the gastrointestinal tract. This procedure is particularly useful for diagnosing conditions such as Crohn's disease, ulcerative colitis, tumors, polyps, ulcers,...
910
Cluster Sampling Method01:20

Cluster Sampling Method

14.9K
Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
14.9K
Statistical Significance01:50

Statistical Significance

22.3K
Once data is collected from both the experimental and the control groups, a statistical analysis is conducted to find out if there are meaningful differences between the two groups. A statistical analysis determines how likely any difference found is due to chance (and thus not meaningful). In psychology, group differences are considered meaningful, or significant, if the odds that these differences occurred by chance alone are 5 percent or less. Stated another way, if we repeated this...
22.3K
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

997
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
997
Automatic Processing and Automatic Social Behavior01:28

Automatic Processing and Automatic Social Behavior

270
Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
270
Statistical Methods to Analyze Parametric Data: ANOVA01:12

Statistical Methods to Analyze Parametric Data: ANOVA

1.7K
Analysis of Variance, or ANOVA, is a powerful statistical technique used to analyze parametric data, primarily in research and experimental studies. It's designed to compare the means of two or more groups, assisting researchers in identifying any significant differences between these group means. There are two main types of ANOVA based on the complexity of the analysis: one-way and two-way.
One-way ANOVA is applied when a single independent variable or factor is scrutinized. It compares...
1.7K

You might also read

Related Articles

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

Sort by
Same author

Wearable Camera-Based Dietary Assessment of Mother-Father Dyads in Urban and Rural Households in Ghana.

Current developments in nutrition·2026
Same author

Eating architecture components and their associations with BMI in urban and rural Ghanaian mothers, fathers, children, and adolescents, assessed using a wearable camera: A cross-sectional study.

Chronobiology international·2026
Same author

A Functional Shape Framework for the Detection of Multiple Sclerosis Using Optical Coherence Tomography Images.

Sensors (Basel, Switzerland)·2026
Same author

Two-stage cylindrical magnetic localization with neural network calibration for wearable capsule endoscopy.

Scientific reports·2026
Same author

INNFusion: A Diffusion-Based Blind Image Super Resolution Scheme Using Reversible Degradation Process With Invertible Neural Networks.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same author

A Multi-Level Self-Distillation-Based Unified Tracker for Efficient RGB-T Tracking.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Corrigendum to "Integrating experimental biology, computational methods, and artificial Intelligence in anticancer drug discovery: Bridging the translational Gap" [Comput. Biol. Med. 213 (2026) 111832].

Computers in biology and medicine·2026
Same journal

Organ dose optimization for a point-of-care forearm X-ray photon-counting CT.

Computers in biology and medicine·2026
Same journal

Physics-guided transformation of breathomic feature spaces into disease-specific representations for respiratory disease classification.

Computers in biology and medicine·2026
Same journal

An AI-driven deep learning pipeline for taxonomic classification and biodiversity assessment of deep-sea environmental DNA.

Computers in biology and medicine·2026
Same journal

Rapid personalisation of cardiovascular models using invasively measured right ventricular pressure.

Computers in biology and medicine·2026
Same journal

Biologically inspired mechanisms for enhancing robustness in EEG signal modeling: Challenges, opportunities, and perspectives.

Computers in biology and medicine·2026
See all related articles

Related Experiment Video

Updated: Feb 14, 2026

Extraction of Plant-based Capsules for Microencapsulation Applications
10:54

Extraction of Plant-based Capsules for Microencapsulation Applications

Published on: November 9, 2016

12.6K

Cluster based statistical feature extraction method for automatic bleeding detection in wireless capsule endoscopy

Tonmoy Ghosh1, Shaikh Anowarul Fattah1, Khan A Wahid2

  • 1Dept. of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh.

Computers in Biology and Medicine
|February 7, 2018
PubMed
Summary
This summary is machine-generated.

This study introduces an automated method using cluster-based features (CBFs) to detect gastrointestinal bleeding from wireless capsule endoscopy (WCE) videos, significantly improving accuracy and reducing physician workload.

Keywords:
Bleeding detectionBleeding zone delineationFeature extractionUnsupervised clusteringWireless capsule endoscopy

More Related Videos

Automatic Detection of Highly Organized Theta Oscillations in the Murine EEG
09:35

Automatic Detection of Highly Organized Theta Oscillations in the Murine EEG

Published on: March 10, 2017

9.7K
Use of a Wireless Video-EEG System to Monitor Epileptiform Discharges Following Lateral Fluid-Percussion Induced Traumatic Brain Injury
09:16

Use of a Wireless Video-EEG System to Monitor Epileptiform Discharges Following Lateral Fluid-Percussion Induced Traumatic Brain Injury

Published on: June 21, 2019

26.4K

Related Experiment Videos

Last Updated: Feb 14, 2026

Extraction of Plant-based Capsules for Microencapsulation Applications
10:54

Extraction of Plant-based Capsules for Microencapsulation Applications

Published on: November 9, 2016

12.6K
Automatic Detection of Highly Organized Theta Oscillations in the Murine EEG
09:35

Automatic Detection of Highly Organized Theta Oscillations in the Murine EEG

Published on: March 10, 2017

9.7K
Use of a Wireless Video-EEG System to Monitor Epileptiform Discharges Following Lateral Fluid-Percussion Induced Traumatic Brain Injury
09:16

Use of a Wireless Video-EEG System to Monitor Epileptiform Discharges Following Lateral Fluid-Percussion Induced Traumatic Brain Injury

Published on: June 21, 2019

26.4K

Area of Science:

  • Medical Imaging
  • Gastroenterology
  • Computer Vision

Background:

  • Wireless capsule endoscopy (WCE) allows full gastrointestinal tract visualization but requires extensive manual review for bleeding detection.
  • Current methods for identifying bleeding in WCE videos are labor-intensive and prone to errors.

Purpose of the Study:

  • To develop an automated method for accurately identifying bleeding frames and zones in WCE videos.
  • To reduce the diagnostic burden on physicians reviewing WCE footage.

Main Methods:

  • Statistical features were extracted from spatial blocks of preprocessed WCE images in a transformed color plane.
  • Unsupervised clustering was used to derive cluster-based features (CBFs).
  • A supervised classification model utilized CBFs and differential CBFs for bleeding frame detection, with a post-processing scheme for continuous video analysis and morphological operations for zone identification.

Main Results:

  • The proposed CBF-based global feature demonstrated superior bleeding detection performance compared to features from non-clustered images.
  • The method achieved significant improvements in bleeding detection accuracy, sensitivity, specificity, and precision for bleeding zone detection.
  • Experimental results showed better performance than existing methods.

Conclusions:

  • The developed automated method effectively identifies bleeding frames and zones in WCE videos with high accuracy.
  • The CBF approach offers a promising solution to streamline the analysis of WCE videos, aiding clinicians in diagnosing gastrointestinal bleeding disorders.
  • This technology has the potential to significantly reduce the time and effort required for WCE video interpretation.