Computer-aided diagnosis of breast tumors using textures from intensity transformed sonographic images
Journal
IFMBE Proceedings
Journal Volume
47
Pages
124-127
Date Issued
2015
Author(s)
Abstract
The malignancy of breast tumors are evaluated via ultrasound images on clinical examination. As a second viewer, a computer-aided diagnosis (CAD) system was developed to classify the breast tumors using texture features to avoid misclassifying carcinomas. A total of 69 cases including 21 malignant and 48 benign masses were acquired. For intensity- invariant texture extraction, the ultrasound images were first transformed into ranklet images to reduce the effect of brightness variability. From the ranklet images, tumor texture and speckle texture were extracted and compared to those from the original ultrasound images for tumor diagnosis. In the trade-offs between sensitivity and specificity, the rankletbased tumor texture and speckle texture were all significantly better than those of the original US images (Az: 0.83 vs. 0.58, p-value=0.0009 and Az=0.80 vs. 0.56, p-value=0.02). The proposed CAD system using textures from intensity transformed sonographic images is robust to various gray-scale distributions and is more suitable in clinical use. ? Springer International Publishing Switzerland 2015.
Subjects
Breast cancer; Computer-aided diagnosis; Texture; Ultrasound
SDGs
Other Subjects
Biochemical engineering; Biomedical engineering; Economic and social effects; Image texture; Medical imaging; Speckle; Textures; Tumors; Ultrasonic applications; Ultrasonics; Ultrasonography; Breast Cancer; Clinical examination; Computer Aided Diagnosis(CAD); Intensity invariant; Sensitivity and specificity; Sonographic images; Texture extraction; Ultrasound images; Computer aided diagnosis
Publisher
Springer Verlag
Type
conference paper