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

You might also read

Related Articles

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

Sort by
Same author

A robust stacked ensemble strategy with multi-optimizer CNN models for skin cancer classification.

Scientific reports·2026
Same author

Data-driven explainable chronic kidney disease detection using RF based data imputation and meta-ensemble learning.

Scientific reports·2026
Same author

Impact of itopride on functional dyspepsia symptom progression: a multicenter noninterventional postregistration study.

Therapeutic advances in gastroenterology·2026
Same author

Application of fractal theory in cancer detection: A review.

Bio Systems·2026
Same author

Hybrid deep learning model for air quality prediction and its impact on healthcare.

Scientific reports·2026
Same author

Automated DFU detection through GA-selected CNN ensemble with Grad-CAM interpretability.

Scientific reports·2025

Related Experiment Video

Updated: Mar 10, 2026

Continuous Blood Sampling in Small Animal Positron Emission Tomography/Computed Tomography Enables the Measurement of the Arterial Input Function
10:21

Continuous Blood Sampling in Small Animal Positron Emission Tomography/Computed Tomography Enables the Measurement of the Arterial Input Function

Published on: August 8, 2019

8.9K

Automatic blood detection in capsule endoscopy video.

Adam Novozámský1, Jan Flusser1, Ilja Tachecí2

  • 1Institute of Information Theory and Automation, The Czech Academy of Sciences, Pod vodárenskou veží 4, 182 08 Prague 8, Czech Republic.

Journal of Biomedical Optics
|December 10, 2016
PubMed
Summary
This summary is machine-generated.

Two new automatic methods detect gastrointestinal bleeding in capsule endoscopy videos. These techniques utilize color and shape analysis, improving diagnostic accuracy for internal bleeding detection.

More Related Videos

Diagnosis of Neoplasia in Barrett’s Esophagus using Vital-dye Enhanced Fluorescence Imaging
06:55

Diagnosis of Neoplasia in Barrett’s Esophagus using Vital-dye Enhanced Fluorescence Imaging

Published on: May 11, 2014

12.5K
A Novel Approach to Overcome Movement Artifact When Using a Laser Speckle Contrast Imaging System for Alternating Speeds of Blood Microcirculation
07:20

A Novel Approach to Overcome Movement Artifact When Using a Laser Speckle Contrast Imaging System for Alternating Speeds of Blood Microcirculation

Published on: August 30, 2017

8.9K

Related Experiment Videos

Last Updated: Mar 10, 2026

Continuous Blood Sampling in Small Animal Positron Emission Tomography/Computed Tomography Enables the Measurement of the Arterial Input Function
10:21

Continuous Blood Sampling in Small Animal Positron Emission Tomography/Computed Tomography Enables the Measurement of the Arterial Input Function

Published on: August 8, 2019

8.9K
Diagnosis of Neoplasia in Barrett’s Esophagus using Vital-dye Enhanced Fluorescence Imaging
06:55

Diagnosis of Neoplasia in Barrett’s Esophagus using Vital-dye Enhanced Fluorescence Imaging

Published on: May 11, 2014

12.5K
A Novel Approach to Overcome Movement Artifact When Using a Laser Speckle Contrast Imaging System for Alternating Speeds of Blood Microcirculation
07:20

A Novel Approach to Overcome Movement Artifact When Using a Laser Speckle Contrast Imaging System for Alternating Speeds of Blood Microcirculation

Published on: August 30, 2017

8.9K

Area of Science:

  • Medical Imaging
  • Gastroenterology
  • Computer Vision

Background:

  • Gastrointestinal bleeding is a significant clinical concern.
  • Wireless capsule endoscopy (WCE) is a key diagnostic tool for small intestine visualization.
  • Accurate detection of bleeding in WCE videos remains challenging.

Purpose of the Study:

  • To develop and evaluate automatic methods for detecting bleeding in wireless capsule endoscopy videos.
  • To introduce a novel color space for enhanced blood pixel separation.
  • To assess the performance of methods based on color and shape/size features, including fusion strategies.

Main Methods:

  • Development of two distinct automatic bleeding detection algorithms for WCE videos.
  • Method 1: Solely utilizes color information.
  • Method 2: Incorporates assumptions on blood spot shape and size, utilizing a novel color space for improved blood pixel and intestinal wall separability.
  • Evaluation of individual method performance and various fusion rules on manually annotated real-world WCE data.

Main Results:

  • Both proposed automatic methods demonstrated effectiveness in detecting bleeding.
  • The novel color space facilitated better discrimination between blood and intestinal tissue.
  • Fusion of the two methods showed potential for enhanced detection accuracy (specific results depend on fusion rule).

Conclusions:

  • Automatic detection of gastrointestinal bleeding in WCE is feasible using color and shape-based methods.
  • The proposed novel color space offers improved separability for bleeding detection.
  • Method fusion presents a promising strategy for robust and accurate bleeding identification in capsule endoscopy.