Journal article
Classification of breast masses in ultrasonic b-mode images using a compounding technique in the nakagami distribution domain
Ultrasound in medicine & biology, v 28(10), pp 1295-1300
2002
PMID: 12467856
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Classification of masses in ultrasonic B-mode images of the breast tissue using “normalized” parameters of the Nakagami distribution was recently investigated. The technique, however, did not yield performances that were comparable to those of an experienced radiologist, and utilized only a single image for tissue characterization. Because radiologists commonly use two to four images of a mass for characterization, a similar procedure is developed here. A simple summation of the normalized Nakagami parameters from two different images of a mass is utilized for classification as benign or malignant. The performance of the normalized Nakagami parameters before and after the summation has been carried out through a receiver operating characteristic (ROC) study. The bootstrap procedure has been utilized to compute the mean and SD of the ROC area,
A
z
, obtained for each parameter. It has been observed that combining normalized Nakagami parameters from two images of the mass may help to improve classification performance over that from utilizing the parameters of just a single image. The performance of this automated parameter-based approach appears to match that of a trained radiologist. (E-mail: pshankar@coe.drexel.edu)
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Details
- Title
- Classification of breast masses in ultrasonic b-mode images using a compounding technique in the nakagami distribution domain
- Creators
- P.M Shankar - Department of Electrical and Computer Engineering, Drexel University, Philadelphia, PA, USAV.A Dumane - Department of Electrical and Computer Engineering, Drexel University, Philadelphia, PA, USAC.W Piccoli - Department of Radiology, Division of Ultrasound, Thomas Jefferson University, Philadelphia, PA, USAJ.M Reid - Department of Electrical and Computer Engineering, Drexel University, Philadelphia, PA, USAF Forsberg - Department of Radiology, Division of Ultrasound, Thomas Jefferson University, Philadelphia, PA, USAB.B Goldberg - Department of Radiology, Division of Ultrasound, Thomas Jefferson University, Philadelphia, PA, USA
- Publication Details
- Ultrasound in medicine & biology, v 28(10), pp 1295-1300
- Publisher
- Elsevier
- 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:000179694600009
- Scopus ID
- 2-s2.0-0036815598
- Other Identifier
- 991014878167504721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Acoustics
- Radiology, Nuclear Medicine & Medical Imaging