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

Pleural Effusion I: Introduction01:25

Pleural Effusion I: Introduction

4.3K
Pleural effusion is an abnormal fluid accumulation in the pleural cavity, a narrow space between the lungs and the chest wall. It is not a disease per se but rather a symptom or indication of an underlying disease. In normal circumstances, this space contains a small amount of fluid (5 to 15 mL), a lubricant facilitating the non-frictional movement of the pleural surfaces.
There are two main types of pleural effusion: transudative and exudative. They are differentiated using Light's...
4.3K
Pleural Effusion II: Symptoms and Management01:28

Pleural Effusion II: Symptoms and Management

762
Pleural Effusion Overview
A pleural effusion is the abnormal collection of fluid between the parietal and visceral pleura layers of tissue that form the lining of the lungs and chest cavity. It can occur independently or due to surrounding parenchymal diseases, such as infection, malignancy, or inflammatory conditions.
Clinical Manifestations:
762
Behavior of Gas Molecules: Molecular Diffusion, Mean Free Path, and Effusion03:48

Behavior of Gas Molecules: Molecular Diffusion, Mean Free Path, and Effusion

31.3K
Although gaseous molecules travel at tremendous speeds (hundreds of meters per second), they collide with other gaseous molecules and travel in many different directions before reaching the desired target. At room temperature, a gaseous molecule will experience billions of collisions per second. The mean free path is the average distance a molecule travels between collisions. The mean free path increases with decreasing pressure; in general, the mean free path for a gaseous molecule will be...
31.3K
Sputum Studies I: Gram Stain, cytology, and Acid-fast smear and culture01:26

Sputum Studies I: Gram Stain, cytology, and Acid-fast smear and culture

663
Sputum studies are a critical part of diagnosing and treating numerous respiratory conditions. These studies involve obtaining sputum samples for analysis to identify pathogenic organisms and assess the presence of abnormal cells indicative of malignant conditions. This lesson will delve into three fundamental sputum studies: Gram Stain, Cytology, and Acid-fast Smear and Culture.
Gram Stain
The Gram Stain is an integral part of sputum studies. It involves the staining of sputum, which permits...
663
Pleural Disorders: Types and Brief Description01:30

Pleural Disorders: Types and Brief Description

699
The pleura is a vital part of the respiratory system. It's a double-layered membrane surrounding the lungs and lining the chest cavity. The two layers of the pleura are:
699
Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

18.7K
Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
18.7K

You might also read

Related Articles

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

Sort by
Same author

Automated Caries Screening Using Ensemble Deep Learning on Panoramic Radiographs.

Entropy (Basel, Switzerland)·2023
Same author

Computer Aided Diagnosis System for Detection of Cancer Cells on Cytological Pleural Effusion Images.

BioMed research international·2018
Same author

Investigation of visually induced motion sickness in dynamic 3D contents based on subjective judgment, heart rate variability, and depth gaze behavior.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2015
Same author

3D gaze tracking system for NVidia 3D Vision®.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2013
Same author

Effect of phase difference in multi-antenna microwave thermal ablation for breast cancer treatment.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2013
Same author

A cost-sensitive extension of AdaBoost with markov random field priors for automated segmentation of breast tumors in ultrasonic images.

International journal of computer assisted radiology and surgery·2010

Related Experiment Video

Updated: Feb 3, 2026

Local Anesthetic Thoracoscopy for Undiagnosed Pleural Effusion
03:22

Local Anesthetic Thoracoscopy for Undiagnosed Pleural Effusion

Published on: November 10, 2023

1.6K

Comparative Study on Automated Cell Nuclei Segmentation Methods for Cytology Pleural Effusion Images.

Khin Yadanar Win1, Somsak Choomchuay1, Kazuhiko Hamamoto2

  • 1Faculty of Engineering, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand.

Journal of Healthcare Engineering
|October 23, 2018
PubMed
Summary

This study compares twelve automated cell nuclei segmentation methods for cancer cell detection in pleural effusion images. The Otsu, k-means, mean shift, Chan-Vese, and graph cut methods showed high accuracy, aiding computer-aided diagnosis.

More Related Videos

A Pleural Effusion Model in Rats by Intratracheal Instillation of Polyacrylate/Nanosilica
03:32

A Pleural Effusion Model in Rats by Intratracheal Instillation of Polyacrylate/Nanosilica

Published on: April 12, 2019

8.3K
SCAnED - An Open-source Skin Segmentation Macro for Semi-automated Cell and Nuclei Detection in Epidermal and Dermal Skin Compartments
06:34

SCAnED - An Open-source Skin Segmentation Macro for Semi-automated Cell and Nuclei Detection in Epidermal and Dermal Skin Compartments

Published on: August 8, 2025

560

Related Experiment Videos

Last Updated: Feb 3, 2026

Local Anesthetic Thoracoscopy for Undiagnosed Pleural Effusion
03:22

Local Anesthetic Thoracoscopy for Undiagnosed Pleural Effusion

Published on: November 10, 2023

1.6K
A Pleural Effusion Model in Rats by Intratracheal Instillation of Polyacrylate/Nanosilica
03:32

A Pleural Effusion Model in Rats by Intratracheal Instillation of Polyacrylate/Nanosilica

Published on: April 12, 2019

8.3K
SCAnED - An Open-source Skin Segmentation Macro for Semi-automated Cell and Nuclei Detection in Epidermal and Dermal Skin Compartments
06:34

SCAnED - An Open-source Skin Segmentation Macro for Semi-automated Cell and Nuclei Detection in Epidermal and Dermal Skin Compartments

Published on: August 8, 2025

560

Area of Science:

  • Medical Imaging
  • Computational Pathology
  • Biomedical Engineering

Background:

  • Automated cell nuclei segmentation is vital for computer-aided diagnosis of cancer cells.
  • Limited studies exist on automated analysis of pleural effusion cytology images due to a lack of reliable segmentation methods.

Purpose of the Study:

  • To present a comparative study of twelve nuclei segmentation methods for cytology pleural effusion images.
  • To evaluate the performance and efficiency of different segmentation techniques in this specific domain.

Main Methods:

  • A comparative evaluation of twelve nuclei segmentation methods was performed.
  • Each method included preprocessing, segmentation, and postprocessing steps.
  • Quantitative evaluation used five performance metrics on 35 cytology images.

Main Results:

  • Segmentation performances for Otsu, k-means, mean shift, Chan-Vese, and graph cut were 94%, 94%, 95%, 94%, and 93%, respectively.
  • These methods demonstrated high abnormal nuclei detection rates.
  • Average computational times per image varied significantly, with Otsu being the fastest at 1.08 seconds.

Conclusions:

  • The study provides a quantitative comparison of nuclei segmentation methods for pleural effusion cytology.
  • Findings are valuable for advancing automated analysis and computer-aided diagnosis in cytology.
  • Selected methods offer promising results for future research in this area.