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

Imaging Studies II: Ultrasonography01:24

Imaging Studies II: Ultrasonography

IntroductionUltrasonography, or renal ultrasound, is a noninvasive medical imaging technique that uses high-frequency sound waves to visualize the kidneys, ureters, bladder, and surrounding tissues.Indications for Urinary System UltrasonographyUrinary system ultrasonography is indicated in various clinical scenarios, such as:Kidney Stones (Urolithiasis): To detect and monitor the size and presence of kidney or urinary tract stones.Hydronephrosis: To assess the dilation of the renal pelvis and...
Ultrasonography01:17

Ultrasonography

Ultrasonography is an imaging technique that uses high-frequency sound waves to visualize the body's internal structures. It is a non-invasive and safe procedure that does not involve the use of ionizing radiation, making it widely used in various medical fields. Ultrasonography is used to study heart function, blood flow in the neck or extremities, certain conditions such as gallbladder disease, and fetal growth and development.
During an ultrasonography procedure, a handheld device called a...

You might also read

Related Articles

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

Sort by
Same author

2025 Update of the Taiwan Expert Consensus on Hormone Receptor-Positive Metastatic Breast Cancer Management.

Journal of breast cancer·2026
Same author

Long-term oncologic outcomes of minimal access (endoscopic or Robotic Assisted) nipple-sparing mastectomy compared with conventional approach in breast cancer - a propensity score matching analysis.

International journal of surgery (London, England)·2025
Same author

Urinary phthalate metabolites associate with blood levels of estrogen quinone-derived hemoglobin adducts in Taiwanese pregnant women.

Toxicology letters·2025
Same author

Magnetic resonance imaging characteristics and survival outcomes of metaplastic breast carcinoma.

PloS one·2025
Same author

Deep learning-based breast MRI for predicting axillary lymph node metastasis: a systematic review and meta-analysis.

Cancer imaging : the official publication of the International Cancer Imaging Society·2025
Same author

Mastectomy Alone or with Immediate Breast Reconstruction: Trend, Precipitating Factors, Patients Reported Outcome, and Oncologic Safety Analysis with and without Propensity Score Matching from 3759 Mastectomy Patients.

Aesthetic plastic surgery·2025

Related Experiment Video

Updated: Jul 17, 2026

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

Automatic contouring for breast tumors in 2-d sonography.

Yu-Len Huang1, Dar-Ren Chen

  • 1Department of Computer Science and Information Engineering, Tunghai University, Taichung, Taiwan.

Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
|February 7, 2007
PubMed
Summary

This study introduces an automatic contouring method for breast tumors in ultrasound images using watershed transform and active contour models. The technique accurately segments tumors, aiding physicians in diagnosis and saving time in computer-aided applications.

More Related Videos

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

Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy
08:17

Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy

Published on: June 7, 2015

Related Experiment Videos

Last Updated: Jul 17, 2026

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

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

Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy
08:17

Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy

Published on: June 7, 2015

Area of Science:

  • Medical Imaging
  • Image Processing
  • Biomedical Engineering

Background:

  • Medical ultrasound (US) imaging is crucial for breast tumor diagnosis.
  • Accurate tumor segmentation is challenging due to US image properties like speckle and noise.
  • Physician experience significantly impacts diagnostic accuracy in manual contouring.

Purpose of the Study:

  • To develop an automatic contouring method for precise breast tumor segmentation in US images.
  • To assist physicians, especially those with less experience, in accurate diagnosis.
  • To improve the efficiency and stability of tumor contouring in computer-aided diagnosis (CAD).

Main Methods:

  • Utilized watershed transform for automatic initial contouring, preserving rough tumor shape.
  • Employed active contour model (ACM) for precise, exquisite tumor boundary determination.
  • Overcame US image artifacts such as speckle, noise, and tissue textures.

Main Results:

  • Computer simulations demonstrated the proposed method consistently identified contours and regions-of-interest (ROI) comparable to manual contouring by experienced physicians.
  • The method achieved high stability in contour identification.
  • Achieved precise segmentation of breast tumors in ultrasound images.

Conclusions:

  • The developed automatic contouring method effectively segments breast tumors in US images.
  • This technique offers a reliable and efficient solution for clinical applications and CAD systems.
  • Enhances diagnostic accuracy and reduces time for contouring in breast tumor analysis.