NDLI: Computerized detection and characterization of mass lesions in digital mammography

Content Provider	IEEE Xplore Digital Library
Author	Giger, M.L. Yin, F.-F. Doi, K. Wu, Y. Vyborny, C.J. Schmidt, R.A. Huo, Z.
Copyright Year	1992
Description	Author affiliation: Dept. of Radiol., Chicago Univ., IL, USA (Giger, M.L.; Yin, F.-F.; Doi, K.; Wu, Y.; Vyborny, C.J.; Schmidt, R.A.; Huo, Z.)
Abstract	Computer-aided diagnosis schemes for the detection of breast lesions in digital mammograms are being developed. The detection scheme employs a bilateral-subtraction technique that is based on the normal symmetry between the left and right breast images. The presence of asymmetries indicates a possible lesion. Feature-analysis techniques are then used to reduce the number of false-positive detections. In addition, characterization methods are being developed to aid in the benign/malignant decision. The authors plan to incorporate the schemes into a dedicated intelligent workstation for use as a second opinion in a mammographic screening program. Output from the computer would be displayed as an aid, leaving the final diagnostic decision to the radiologist.
Starting Page	1370
Ending Page	1372
File Size	264839
Page Count	3
File Format	PDF
ISBN	0780307208
DOI	10.1109/ICSMC.1992.271594
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1992-10-18
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Lesions Mammography Breast Image segmentation Computer aided diagnosis Workstations Computer displays Laboratories Radiology Subtraction techniques
Content Type	Text
Resource Type	Article

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