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

In Vivo Wound Healing Activity of <i>Abrus cantoniensis</i> Extract.

Evidence-based complementary and alternative medicine : eCAM·2017
Same author

Gigantol from Dendrobium chrysotoxum Lindl. binds and inhibits aldose reductase gene to exert its anti-cataract activity: An in vitro mechanistic study.

Journal of ethnopharmacology·2017
Same author

[High-risk factors and clinical characteristics of massive pulmonary hemorrhage in infants with extremely low birth weight].

Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics·2017
Same author

Liver X receptor agonist T0901317 reverses resistance of A549 human lung cancer cells to EGFR-TKI treatment.

FEBS open bio·2017
Same author

Naked eye plasmonic indicator with multi-responsive polymer brush as signal transducer and amplifier.

Nanoscale·2017
Same author

Graphene oxide adsorbent based dispersive solid phase extraction coupled with multi-pretreatment clean-up for analysis of trace aflatoxins in traditional proprietary Chinese medicines.

Journal of chromatography. B, Analytical technologies in the biomedical and life sciences·2017

Related Experiment Video

Updated: Oct 19, 2025

Integrating Augmented Reality Tools in Breast Cancer Related Lymphedema Prognostication and Diagnosis
06:03

Integrating Augmented Reality Tools in Breast Cancer Related Lymphedema Prognostication and Diagnosis

Published on: February 6, 2020

6.8K

Breast cancer diagnosis based on guided Water Strider Algorithm.

Dezhong Bi1, Yuxi Liu2, Naser Youssefi3

  • 1College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of Engineering in Medicine
|September 22, 2021
PubMed
Summary

This study introduces an advanced image processing pipeline for early breast cancer detection in mammograms. The method uses optimized feature selection and classification for improved diagnostic accuracy.

Keywords:
Breast cancerGuided Water Strider Algorithmfeature selectionpipeline methodologysupport vector machine

More Related Videos

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
15:48

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging

Published on: December 15, 2014

22.7K
Detection and Isolation of Cancer in Prostate Biopsies Using Stimulated Raman Histology and Artificial Intelligence
08:05

Detection and Isolation of Cancer in Prostate Biopsies Using Stimulated Raman Histology and Artificial Intelligence

Published on: June 10, 2025

782

Related Experiment Videos

Last Updated: Oct 19, 2025

Integrating Augmented Reality Tools in Breast Cancer Related Lymphedema Prognostication and Diagnosis
06:03

Integrating Augmented Reality Tools in Breast Cancer Related Lymphedema Prognostication and Diagnosis

Published on: February 6, 2020

6.8K
Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
15:48

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging

Published on: December 15, 2014

22.7K
Detection and Isolation of Cancer in Prostate Biopsies Using Stimulated Raman Histology and Artificial Intelligence
08:05

Detection and Isolation of Cancer in Prostate Biopsies Using Stimulated Raman Histology and Artificial Intelligence

Published on: June 10, 2025

782

Area of Science:

  • Medical Imaging
  • Computer-Aided Diagnosis
  • Biomedical Engineering

Background:

  • Breast cancer poses a significant threat to women's health globally.
  • Early diagnosis and treatment are crucial for improving patient survival rates.
  • Image processing offers a non-invasive tool to aid physicians in early cancer detection.

Purpose of the Study:

  • To propose a pipeline methodology for optimal diagnosis of breast cancer in mammography images.
  • To enhance the accuracy and efficiency of early breast cancer detection.
  • To develop an automated system for assisting in clinical decision-making for breast cancer.

Main Methods:

  • Image preprocessing and filtering for noise reduction.
  • Otsu threshold segmentation and mathematical morphology for tumor mass segmentation.
  • Feature extraction using 22 structural features, optimized with Guided Water Strider Algorithm (GWSA) for feature selection.
  • Support Vector Machine (SVM) classifier optimized using GWSA for final diagnosis.

Main Results:

  • The proposed pipeline effectively segments tumor masses and extracts relevant features.
  • Guided Water Strider Algorithm (GWSA) successfully pruned irrelevant features, improving classification accuracy.
  • The optimized SVM classifier achieved high accuracy in diagnosing breast cancer from mammography images.
  • Simulations on the DDSM database demonstrated superior performance compared to existing methods.

Conclusions:

  • The developed image processing pipeline provides an effective and accurate method for early breast cancer diagnosis.
  • The integration of GWSA for feature selection and classifier optimization enhances diagnostic performance.
  • This approach holds significant potential for improving breast cancer detection rates and patient outcomes.