Automatic detection of microcalcifications in digital mammograms by entropy thresholding

Author

Liao, Ping-Sung ; Hsu, Bi-Chang ; Lo, Chien-Shun ; Chung, Pau-Choo ; Chen, Tse-Sheng ; Lee, San Kan ; Cheng, Lily ; Chang, Chein-I

Author_Institution

Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan

Volume

3

fYear

1996

fDate

31 Oct-3 Nov 1996

Firstpage

1075

Abstract

A system for automatically detecting microcalcifications in digital mammograms is presented. The proposed system, based on a sequence of preprocessing steps (gradient enhancement, mean contrast enhancement and Gaussian blurring-deblurring process) followed by segmentation using entropy thresholding, can effectively and efficiently detect the suspicious microcalcifications. The performance of the designed system is evaluated by skilled radiologists and shows encouraging results

Keywords

diagnostic radiography; entropy; image enhancement; image segmentation; medical image processing; smoothing methods; Gaussian blurring-deblurring process; automatic detection; digital mammograms; ean contrast enhancement; entropy thresholding; gradient enhancement; microcalcifications; segmentation; sequence of preprocessing steps; smoothed image; Background noise; Biological tissues; Breast cancer; Cancer detection; Engineering in Medicine and Biology Society; Entropy; Image segmentation; Low pass filters; Mammography; Pixel;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE

Conference_Location

Amsterdam

Print_ISBN

0-7803-3811-1

Type

conf

DOI

10.1109/IEMBS.1996.652715

Filename

652715