Computerized diagnosis of breast lesions on ultrasound. Academic Article uri icon

Overview

abstract

  • We present a computer-aided diagnosis (CAD) method for breast lesions on ultrasound that is based on the automatic segmentation of lesions and the automatic extraction of four features related to the lesion shape, margin, texture, and posterior acoustic behavior. Using a database of 400 cases (94 malignant lesions, 124 complex cysts, and 182 benign solid lesions), we investigate the marginal benefit of each feature in our CAD method and the performance of our CAD method in distinguishing malignant lesions from various classes of benign lesions. Finally, independent validation is performed on our CAD method. Eleven independent trials yielded an average Az value of 0.87 in the task of distinguishing malignant from benign lesions.

publication date

  • February 1, 2002

Research

keywords

  • Breast Neoplasms
  • Diagnosis, Computer-Assisted

Identity

Scopus Document Identifier

  • 0036173894

Digital Object Identifier (DOI)

  • 10.1118/1.1429239

PubMed ID

  • 11865987

Additional Document Info

volume

  • 29

issue

  • 2