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 Experiment Video

Updated: Jul 17, 2026

Clinical Imaging of Microwave Mammography
05:28

Clinical Imaging of Microwave Mammography

Published on: November 14, 2025

Computerized Classification Method for Differentiating Between Benign and Malignant Lesions on Breast MR Images.

Hui Wang1, Zhimin Huo, Jiwu Zhang

  • 1Eastman Kodak Company, Health Group Global, R&D Center, Shanghai, China, 201206. phone: 86-21-50308810-5224; fax: 86-21-50308802;

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

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

Comparison of whole-body 18F-FDG SPECT and posttherapeutic 131I scintigraphy in the detection of metastatic thyroid cancer.

Clinical imaging·2008
Same author

[Separation and determination of furanocoumarins in shatian pomelo juice by HPLC-MS].

Se pu = Chinese journal of chromatography·2007
Same author

Effect of neuregulin-1 on histopathological and functional outcome after controlled cortical impact in mice.

Journal of neurotrauma·2007
Same author

Decreased expression of ING2 gene and its clinicopathological significance in hepatocellular carcinoma.

Cancer letters·2007
Same author

Compound Salvia droplet pill, a traditional Chinese medicine, for the treatment of unstable angina pectoris: a systematic review.

Medical science monitor : international medical journal of experimental and clinical research·2007
Same author

Ezrin silencing by small hairpin RNA reverses metastatic behaviors of human breast cancer cells.

Cancer letters·2007

A new computerized method using temporal feature analysis of contrast-enhanced breast MRI significantly improves detection of malignant breast cancer. The technique aids in differentiating cancerous from benign lesions, enhancing diagnostic accuracy.

Area of Science:

  • Radiology
  • Medical Imaging
  • Oncology

Background:

  • Contrast-enhanced breast MRI offers high sensitivity for breast cancer detection.
  • Accurate differentiation between benign and malignant breast lesions is crucial for patient management.

Purpose of the Study:

  • To develop and evaluate a novel computerized classification method for breast lesion differentiation.
  • To utilize temporal feature analysis of contrast uptake and washout for improved diagnostic accuracy.

Main Methods:

  • A computerized classification method based on temporal feature analysis was developed.
  • Thresholds for contrast uptake and washout speed were used to identify suspicious malignant areas.
  • An angiogenesis map was generated to visually represent suspicious regions.

More Related Videos

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
13:44

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Published on: August 30, 2013

Related Experiment Videos

Last Updated: Jul 17, 2026

Clinical Imaging of Microwave Mammography
05:28

Clinical Imaging of Microwave Mammography

Published on: November 14, 2025

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
13:44

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Published on: August 30, 2013

Main Results:

  • The method achieved 90.5% sensitivity in detecting malignant breast lesions.
  • It correctly classified 55% of benign lesions as benign.
  • Retrospective analysis included 64 malignant and 29 benign lesions.

Conclusions:

  • Temporal feature analysis is an effective method for detecting malignant breast lesions.
  • The developed method shows promise in delineating malignant from benign lesions on breast MRI.