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Computerized diagnosis of breast lesions on ultrasound
Author(s) -
Horsch Karla,
Giger Maryellen L.,
Venta Luz A.,
Vyborny Carl J.
Publication year - 2002
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1118/1.1429239
Subject(s) - cad , computer aided diagnosis , ultrasound , medicine , radiology , lesion , breast ultrasound , segmentation , mammography , pathology , computer science , artificial intelligence , breast cancer , cancer , engineering drawing , engineering
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 A zvalue of 0.87 in the task of distinguishing malignant from benign lesions.