DETECTION OF MICROCALCIFICATIONS IN MAMMOGRAMS USING CONTINUOUS WAVELET TRANSFORM AND MULTISCALE PRODUCT
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2025
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| _version_ | 1866902200305844224 |
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| author | Nadji A. Yeltongar , OumarIdriss Hamid Jerome B. Mbainaibeye Salif Gaye |
| author_facet | Nadji A. Yeltongar , OumarIdriss Hamid Jerome B. Mbainaibeye Salif Gaye |
| contents | <p>Early detection of breast cancer relies heavily on the accurate identification of microcalcifications in mammograms. These small, low-contrast structures are often difficult to detect visually. In this paper, we propose a method based on the Continuous Wavelet Transform(CWT)combined with the multiscale product of wavelet coefficients to enhance spatial discontinuities associated with micro calcifications. After applying a pre-processing pipeline involving three combined techniques, the method is evaluated on images from the MIAS database and from the Mother and Child Hospital of N Djamena.The results demonstrate a significant enhancement of microcalcifications, including those embedded within adipose tissue, thereby facilitating detection. The performances obtained outperform several approaches previously reported in the literature for similar image types.</p> <p> </p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_21474_IJAR01_22266 |
| institution | Zenodo |
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| publishDate | 2025 |
| publisher | Zenodo |
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| spellingShingle | DETECTION OF MICROCALCIFICATIONS IN MAMMOGRAMS USING CONTINUOUS WAVELET TRANSFORM AND MULTISCALE PRODUCT Nadji A. Yeltongar , OumarIdriss Hamid Jerome B. Mbainaibeye Salif Gaye Microcalcifications Digital mammography Continuous Wavelet Transform Multiscale product Image pre-processing <p>Early detection of breast cancer relies heavily on the accurate identification of microcalcifications in mammograms. These small, low-contrast structures are often difficult to detect visually. In this paper, we propose a method based on the Continuous Wavelet Transform(CWT)combined with the multiscale product of wavelet coefficients to enhance spatial discontinuities associated with micro calcifications. After applying a pre-processing pipeline involving three combined techniques, the method is evaluated on images from the MIAS database and from the Mother and Child Hospital of N Djamena.The results demonstrate a significant enhancement of microcalcifications, including those embedded within adipose tissue, thereby facilitating detection. The performances obtained outperform several approaches previously reported in the literature for similar image types.</p> <p> </p> |
| title | DETECTION OF MICROCALCIFICATIONS IN MAMMOGRAMS USING CONTINUOUS WAVELET TRANSFORM AND MULTISCALE PRODUCT |
| topic | Microcalcifications Digital mammography Continuous Wavelet Transform Multiscale product Image pre-processing |
| url | https://doi.org/10.21474/IJAR01/22266 |