title: Computer-aided multiview tumor detection for automated whole breast ultrasound.
abstract: Automated whole breast ultrasound (ABUS) has become a popular screening tool in recent years. To reduce the review time and misdetection from ABUS images by physicians, a computer-aided detection (CADe) system for ABUS images based on a multiview method is proposed in this study. A total of 58 pathology-proven lesions from 41 patients were used to evaluate the performance of the system. In the proposed CADe system, the fuzzy c-mean clustering method was applied to detect tumor candidates from these ABUS images. Subsequently, the tumor likelihoods of these candidates could be estimated by a logistic linear regression model based on the intensity, morphology, location, and size features in the transverse, longitudinal, and coronal views. Finally, the multiview tumor likelihoods of the tumor candidates could be obtained from the estimated tumor likelihoods of the three views, and the tumor candidates with high multiview tumor likelihoods were regarded as the detected tumors in the proposed system. The sensitivities of the multiview tumor detection for selecting 5, 10, 20, and 30 tumor candidates with the largest multiview tumor likelihoods were 79.31%, 86.21%, 96.55%, and 98.28%, respectively.
authors.affiliation: 1Department of Surgery, National Taiwan University Hospital, Taipei, Taiwan.
authors.forename: Chiao
authors.initials: C
authors.lastname: Lo
authors.forename: Yi-Wei
authors.initials: YW
authors.lastname: Shen
authors.forename: Chiun-Sheng
authors.initials: CS
authors.lastname: Huang
authors.forename: Ruey-Feng
authors.initials: RF
authors.lastname: Chang
mesh_terms: D001943:Breast Neoplasms / Q000000981:diagnostic imaging*; D016000:Cluster Analysis; D005260:Female; D017143:Fuzzy Logic; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods* / Q000706:statistics & numerical data; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D016217:Ultrasonography, Mammary / Q000379:methods* / Q000706:statistics & numerical data
keywords: automated whole breast ultrasound; breast cancer; computer-aided detection; fuzzy c-means; multiview detection