Detection of cancerous masses for screening mammography using discrete wavelet transform-based multiresolution Markov random field
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Academic Article
individual record
abstract
When cancerous masses are embedded in and camouflaged by varying densities of parenchymal tissue structures, they are difficult to visually detect on mammograms. An algorithm based on the discrete wavelet transform and multiresolution Markov random field is presented to single out the suspicious masses to assist the attending radiologist in making decisions.
authors
publication outlet
Journal of Digital Imaging
author list (cited authors)
Zheng, L., Chan, A. K., McCord, G., Wu, S., & Liu, J. S.
publication date
1999
publisher
Springer Nature
Publisher
keywords
- Mass Screening
- Breast Neoplasms
- Markov Chains
- Image Processing, Computer-Assisted
- Mammography
- Algorithms
- Radiographic Image Enhancement
- Diagnosis, Computer-Assisted
- Humans
- Biomedical Imaging
- Female
- Prevention
- Fractals
citation count
10
identifier
49448SE
Digital Object Identifier (DOI)
start page
18
end page
23
volume
12
issue
Suppl 1