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

386
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,...
386
Endoscopic Procedures II: Colonoscopy01:25

Endoscopic Procedures II: Colonoscopy

262
The colon, or large intestine, is the final segment of the digestive system. Its primary functions include absorbing water and vitamins produced by gut bacteria and transforming waste from liquid to solid to form stool. In adults, the large intestine is approximately 5 feet long and consists of four main sections:
262
Endoscopic Procedures IV: Sigmoidoscopy and Laproscopy01:26

Endoscopic Procedures IV: Sigmoidoscopy and Laproscopy

228
Sigmoidoscopy and laparoscopy are distinct medical procedures that enable physicians to internally inspect different parts of the GI tract. Although they serve different purposes, each is essential for diagnosing and, in some cases, treating various medical conditions.
Sigmoidoscopy
Sigmoidoscopy is a diagnostic procedure that uses a flexible sigmoidoscope equipped with a light source and camera to examine the rectum and sigmoid colon. The procedure involves inserting the tube through the anus...
228

You might also read

Related Articles

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

Sort by
Same author

[Expression of eosinophil major basic protein and neutrophil elastase in nasal polyp tissue and secretion].

Lin chuang er bi yan hou tou jing wai ke za zhi = Journal of clinical otorhinolaryngology head and neck surgery·2008
Same author

[Effect of interferon-gamma on the expression of vascular endothelial growth factor C on Hep-2 laryngeal carcinoma cell lines].

Lin chuang er bi yan hou tou jing wai ke za zhi = Journal of clinical otorhinolaryngology head and neck surgery·2008
Same author

Effects of 18alpha-glycyrrhizin on the pharmacodynamics and pharmacokinetics of glibenclamide in alloxan-induced diabetic rats.

European journal of pharmacology·2008
Same author

[Inhibition of oxidative activity of myeloperoxidase by anti-myeloperoxidase antibodies from patients with microscopic polyangiitis].

Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences·2008
Same author

Gene delivery of indoleamine 2,3-dioxygenase prolongs cardiac allograft survival by shaping the types of T-cell responses.

The journal of gene medicine·2008
Same author

[Ultrasonographic findings of intussusception complicated by intestinal necrosis in children].

Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics·2008

Related Experiment Video

Updated: Oct 21, 2025

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

3.0K

Multi-Task Classification and Segmentation for Explicable Capsule Endoscopy Diagnostics.

Zishang Kong1, Min He2, Qianjiang Luo2

  • 1School of Electonic and Computer Engineering, Peking University, Shenzhen, China.

Frontiers in Molecular Biosciences
|September 7, 2021
PubMed
Summary

This study introduces a new AI framework for capsule endoscopy, improving image analysis by jointly learning image clearness and tissue types. This enhances diagnostic accuracy for small bowel conditions.

Keywords:
Auxiliary diagnosisCapsule endoscopyCrohn’s diseaseExplicableMulti-task learning

More Related Videos

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data
12:08

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data

Published on: August 13, 2014

24.7K
Objectification of Tongue Diagnosis in Traditional Medicine, Data Analysis, and Study Application
05:56

Objectification of Tongue Diagnosis in Traditional Medicine, Data Analysis, and Study Application

Published on: April 14, 2023

2.8K

Related Experiment Videos

Last Updated: Oct 21, 2025

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

3.0K
From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data
12:08

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data

Published on: August 13, 2014

24.7K
Objectification of Tongue Diagnosis in Traditional Medicine, Data Analysis, and Study Application
05:56

Objectification of Tongue Diagnosis in Traditional Medicine, Data Analysis, and Study Application

Published on: April 14, 2023

2.8K

Area of Science:

  • Medical Imaging
  • Artificial Intelligence
  • Gastroenterology

Background:

  • Capsule endoscopy is crucial for small bowel diagnostics but faces challenges like time-consuming interpretation and poor image quality.
  • Current methods for classifying image clearness lack explainability and efficiency.
  • Accurate diagnostics are hindered by the harsh optical environment and image artifacts within the small intestine.

Purpose of the Study:

  • To introduce a novel multi-task framework (MTCSN) for joint learning of clearness degree (CD) and tissue semantic segmentation (TSS) in capsule endoscopy.
  • To improve the efficiency and accuracy of diagnostic image analysis in capsule endoscopy.
  • To present a new benchmark dataset for evaluating capsule endoscopy analysis in real-world conditions.

Main Methods:

  • Developed a multi-task classification and segmentation network (MTCSN) for integrated learning of CD and TSS.
  • Utilized TSS to provide an explicable semantic map for better CD classification.
  • Introduced the Capsule-Endoscopy Crohn's Disease dataset, featuring real-world challenges like motion blur and occlusion.

Main Results:

  • The MTCSN demonstrated significant performance gains over existing state-of-the-art methods.
  • Joint learning of CD and TSS led to improved refinement of segmentation and classification.
  • The new dataset effectively represents diverse and challenging endoscopic scenarios.

Conclusions:

  • The MTCSN offers a more accurate and explainable approach to capsule endoscopy image analysis.
  • Joint learning in MTCSN enhances diagnostic capabilities for small bowel lesions.
  • The proposed dataset facilitates further research in challenging endoscopic imaging.