Methods and related systems are described for detection of 
breast cancer in 3D 
ultrasound imaging data. Volumetric 
ultrasound images are obtained by an automated 
breast ultrasound scanning (ABUS) device. In ABUS images breast cancers appear as dark lesions. When viewed in transversal and sagittal planes, lesions and 
normal tissue appear similar as in traditional 2D 
ultrasound. However, architectural 
distortion and spiculation are frequently seen in the coronal views, and these are strong indicators of the presence of 
cancer. The described computerized detection (CAD) 
system combines a dark 
lesion detector operating in 3D with a 
detector for spiculation and architectural 
distortion operating on 2D coronal slices. In this way a sensitive detection method is obtained. Techniques are also described for correlating regions of interest in ultrasound images from different scans such in different scans of the same breast, scans of a patient's right versus 
left breast, and scans taken at different times. Techniques are also described for correlating regions of interest in ultrasound images and 
mammography images. Interactive user interfaces are also described for displaying CAD results and for displaying corresponding locations on different images.