Search Results - "mammograms"
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Digital watermarking for mammogram authentication
Published 2010“…Hence, by identifying best location on the mammogram to embed the patient's information without affecting the quality of the image will be studied. …”
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Breast tumor diagnosis in digital mammograms
Published 2019“…The early signs of breast cancer can be detected in mammograms. Hence, digital mammograms have been classified as one of the best methods to detect breast cancer. …”
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Fuzzy Techniques For Contrast Enhancement Of Mammograms
Published 2011“…Hence, mammogram contrast enhancement is critical and essential in the tasks of mammography images interpretation. …”
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Compression and enhancement of digital mammograms with wavelet footprints
Published 2007“…We propose a near lossless representation of digital mammograms using the wavelet footprint basis, that can simultaneously enhance the diagnostic features of the mammogram and yield some compression. …”
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Automatic Segmentation And Detection Of Mass In Digital Mammograms
Published 2012“…Then, image enhancement is employed to improve the contrast of the tissues structure in mammograms. Finally, constraint region growing based on local statistical texture analysis is applied to detect and segment out the mass from the mammograms.…”
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Detection And Segmentation Of Mass Region In Mammogram Image
Published 2014“…Thus, in this study, an automated system to detect and segment the true mass regions of any size, shape and margin in mammogram image is proposed. Initially, the Mean Median Intersection Point (MMIP) algorithm is proposed to obtain a point in the intensity histogram to be set as threshold value to segment the breast region and distinguish it from the background in the mammogram image. …”
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Wavelet Analysis: Comparison of Approximation and Details For Mammogram Classification
Published 2009“…This paper presents an attempt to find which subband that could be better to used for mammogram classification to detect and diagnose the breast cancer.…”
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Texture Features Selection for Masses Detection In Digital Mammogram
Published 2008“…Detection of masses in digital mammograms may helps in an early diagnosis of breast cancer. …”
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Using curvelet transform to detect breast cancer in digital mammogram
Published 2009“…This paper presents an approach for breast cancer diagnosis in digital mammogram using curvelet transform. The motivation of this approach is the desire of using the advantages of curvelet transform into mammogram analysis. …”
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Using curvelet transform to detect breast cancer in digital mammogram
Published 2009“…This paper presents an approach for breast cancer diagnosis in digital mammogram using curvelet transform. The motivation of this approach is the desire of using the advantages of curvelet transform into mammogram analysis. …”
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Breast Cancer Diagnosis in Mammograms Using Multilevel Wavelet Analysis
Published 2010“…A computer aided diagnosis system based on multiresolution analysis using the wavelet functions for interpreting digital mammograms is introduced and tested. The goal is to increase the diagnostic accuracy as well as the reproducibility of mammographic interpretation. …”
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Utility of pap smears and mammograms in midlife urban Malaysian women
Published 2008“…Postmenopaused women had more abnormal mammograms (p<0.0005) of a graver nature, requiring monitoring although the rate of BC was lower than the premenopaused, 0.010 versus 0.015. …”
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Effect of false-positive screening mammograms on rescreening in Western Australia
Published 2012“…Results: A total of 22 396 screening mammograms were falsely reported as positive, and 560 333 mammogram screens were reported as normal (negative). …”
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Knowledge, attitude and practice of mammogram screening among women in Kelantan
Published 2017“…The acceptability of mammogram screening is influenced by people’s knowledge and attitude. …”
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Image Processing Of Digital Mammograms For Breast Cancer Detection And Classification
Published 2018“…Due to an increase in number of breast cancer screening worldwide, development of accurate CAD is needed for tumour detection in mammograms. This study aims to develop an image processing algorithm that can produce lesser errors than human operators. …”
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