DocumentCode :
3365075
Title :
An algorithm for early breast cancer detection in mammograms
Author :
Bankman, Isaac N. ; Christens-Barry, William A. ; Weinberg, Irving N. ; Kim, Dong W. ; Semmel, Ralph D. ; Brody, William R.
Author_Institution :
Appl. Phys. Lab., John Hopkins Univ., Laurel, MD, USA
fYear :
1992
fDate :
14-17 Jun 1992
Firstpage :
362
Lastpage :
369
Abstract :
Presents a novel algorithm specifically designed for detecting clusters of microcalcifications that are early mammographic signs of breast cancer. The algorithm, which can be implemented in a general-purpose computer, is intended to assist the radiologist by indicating the location of suspicious clusters. A small number of parameters (features) are extracted from the mammogram and used in a decision-making process that requires no human supervision
Keywords :
diagnostic radiography; medical diagnostic computing; medical image processing; radiology; decision-making process; early breast cancer detection; feature extraction; mammograms; microcalcifications; parameter extraction; radiology; suspicious clusters; Algorithm design and analysis; Breast cancer; Cancer detection; Clustering algorithms; Inspection; Laboratories; Medical diagnostic imaging; Microstructure; Physics; Radiology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer-Based Medical Systems, 1992. Proceedings., Fifth Annual IEEE Symposium on
Conference_Location :
Durham, NC
Print_ISBN :
0-8186-2742-5
Type :
conf
DOI :
10.1109/CBMS.1992.244928
Filename :
244928
Link To Document :
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