Title

Detecting microcalcifications in digital mammograms using wavelet domain hidden markov tree model

Document Type

Conference Proceeding

Publication Date

8-30-2006

Publication Title

28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06

Publisher

Institute of Electrical and Electronics Engineers

First page number:

1972

Last page number:

1975

Abstract

In this paper we investigate the performance of statistical modeling of digital mammograms by means of wavelet domain hidden Markov tree model (WHMT) for its inclusion to a computer-aided diagnostic prompting system for detecting microcalcification (MC) clusters. The system incorporates: (1) gross-segmentation of mammograms for obtaining the breast region; (2) eliminating the pepper-type noise, (3) block-wise wavelet transform of the breast signal and likelihood calculation; (4) image segmentation; (5) postprocessing for retaining MC clusters. FROC curves are obtained for all MC clusters containing mammograms of mini-MIAS database. 100% of true positive cases are detected by the system at 2.9 false positives per case.

Keywords

Breast cancer; Cities and towns; Hidden Markov models; Image databases; Image segmentation; Tree graphs; USA Councils; Wavelet coefficients; Wavelet domain; Wavelet transforms

Disciplines

Bioimaging and Biomedical Optics | Biomechanics and Biotransport | Biomedical Devices and Instrumentation | Biomedical Engineering and Bioengineering | Diagnosis | Electrical and Computer Engineering | Electromagnetics and Photonics | Medicine and Health Sciences | Molecular, Cellular, and Tissue Engineering | Surgical Procedures, Operative

Language

English

Comments

Conference held: New York, NY, Aug. 30 2006-Sept. 3 2006

Permissions

Use Find in Your Library, contact the author, or interlibrary loan to garner a copy of the item. Publisher policy does not allow archiving the final published version. If a post-print (author's peer-reviewed manuscript) is allowed and available, or publisher policy changes, the item will be deposited.

Identifier

DOI: http://dx.doi.org/10.1109/IEMBS.2006.259580; E-ISBN: 1-4244-003303

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