Microcalcification enhancement and classification on mammograms using the wavelet transform

Docusse, Tiago Alexandre; Furlani, J.R.; Romano, Roni; Guido, Rodrigo Capobianco; Chen, Shi-Huang; Marranghello, Norian; Pereira, Aledir Silveira

doi:10.1109/ijcnn.2008.4634248

Cited by 2 publications

(1 citation statement)

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“…Then it is not suitable for general mammography image because in mammogram the size and shape of the suspicious structures are very important. In [7] have enhanced micro calcifications on ROI and classify their borders by applying wavelet transform. Laplacian Pyramid and fast wavelet transform (FWT) was carried out by [8].…”

Section: Introductionmentioning

confidence: 99%

Mammographic image enhancement for breast cancer detection applying wavelet transform

Yousefi

2015

2015 IEEE Student Symposium in Biomedical Engineering &Amp; Sciences (ISSBES)

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Mammography is the most effective method for the early detection of breast cancer. However, low contrast and noisy images of mammogram makes difficulty to recognize the typical diagnostic signs such as micro-calcifications and masses. This paper introduces a new approach for image enhancement based on wavelet transform processing. Enhanced image is achieved by decomposition the mammogram images in different frequency sub bands, manipulate them by mathematical morphology, and Laplacian Kernel edge enhancement filtering, and, finally, reconstructing mammogram image from the sub bands. The results has been presented and qualitatively and quantitatively compared with two known mammogram enhancement algorithms. The quantitative analysis is also in agreement with the qualitative analysis.

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Section: Introductionmentioning

confidence: 99%

Mammographic image enhancement for breast cancer detection applying wavelet transform

Yousefi

2015

2015 IEEE Student Symposium in Biomedical Engineering &Amp; Sciences (ISSBES)

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A new fast fractal coding method for the detection of microcalcifications in mammograms

Huang

Liu

2011

2011 International Conference on Multimedia Technology

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Microcalcification enhancement and classification on mammograms using the wavelet transform

Cited by 2 publications

References 11 publications

Mammographic image enhancement for breast cancer detection applying wavelet transform

Mammographic image enhancement for breast cancer detection applying wavelet transform

A new fast fractal coding method for the detection of microcalcifications in mammograms

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