Malignant and benign breast tissue classification performance using a scatterer structure preclassifier

Journal article

Kevin D Donohue, Lexun Huang, Georgia Georgiou, Fernand S Cohen, Catherine W Piccoli and Flemming Forsberg

IEEE transactions on ultrasonics, ferroelectrics, and frequency control, v 50(6), pp 724-729

2003

PMID: 12839186

Additional Links

Acoustic signal processing

Acoustics

Biological and medical sciences

Exact sciences and technology

Fundamental areas of phenomenology (including applications)

Investigative techniques, diagnostic techniques (general aspects)

Medical sciences

Miscellaneous. Technology

Physics

Ultrasonic investigative techniques

6 Record Views

9 citations in Scopus

Title: Malignant and benign breast tissue classification performance using a scatterer structure preclassifier
Creators: Kevin D Donohue - University of Kentucky
Lexun Huang - University of Kentucky
Georgia Georgiou - Electrical and Computer Engineering Department, Drexel University, Philadelphia, PA, United States
Fernand S Cohen - Drexel University
Catherine W Piccoli - Department of Radiology, Thomas Jefferson University, Philadelphia, PA, United States
Flemming Forsberg - Department of Radiology, Thomas Jefferson University, Philadelphia, PA, United States
Publication Details: IEEE transactions on ultrasonics, ferroelectrics, and frequency control, v 50(6), pp 724-729
Publisher: Institute of Electrical and Electronics Engineers
Resource Type: Journal article
Language: English
Academic Unit: Electrical and Computer Engineering; School of Biomedical Engineering, Science, and Health Systems
Web of Science ID: WOS:000183765700019
Scopus ID: 2-s2.0-0038720478
Other Identifier: 991019168532904721

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Collaboration types: Domestic collaboration
Web of Science research areas: Acoustics; Engineering, Electrical & Electronic