Document Type
Patent
Publication Date
September 2008
Patent Number
7430308
Abstract
Computer aided diagnosis techniques in medical imaging are developed for the automated differentiation between benign and malignant lesions and go beyond computer aided detection by providing cancer likelihood for a detected lesion given image and/or patient characteristics. A computer aided detection and diagnosis algorithm for mammographic calcification clusters is developed and evaluated. The emphasis is on the diagnostic component although the algorithm includes automated detection, segmentation, and classification steps based on wavelet filters and artificial neural networks. Classification features are selected primarily from descriptors of the morphology of the individual calcifications and the distribution of the cluster as well as patient's demographics as input to the network. Te selected features are robust morphological and distributional descriptors, relatively insensitive to segmentation and detection errors such as false positive signals and variations among imaging sources or imaging equipment.
Application Number
10/723,540
Recommended Citation
Kallergi, Maria, "Computer aided diagnosis of mammographic microcalcification clusters" (2008). USF Patents. 608.
https://digitalcommons.usf.edu/usf_patents/608
Assignees
University of South Florida
Filing Date
11/26/2003
Primary/U.S. Class
382/128
