Description: 该程序用实现寻找钼靶图像中乳腺轮廓。在医学图像处理当中,找到乳腺轮廓有助于简化后绪处理。-This code is used for finding the boudary of the breast in a mammogram. Platform: |
Size: 3072 |
Author:yuting |
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Description: Mammography is one of the available techniques for the early detection of masses or abnormalities which
is related to breast cancer. Breast Cancer is the uncontrolled of cells in the breast region, which may affect
the other parts of the body. The most common abnormalities that might indicate breast cancer are masses
and calcifications. Masses appear in a mammogram as fine, granular clusters and also masses will not have
sharp boundaries, so often difficult to identify in a raw mammogram. Digital Mammography is one of the
best available technologies currently being used for the early detection of breast cancer. Computer Aided
Detection System has to be developed for the detection of masses and calcifications in Digital
Mammogram, which acts as a secondary tool for the radiologists for diagnosing the breast cancer. In this
paper, we have proposed a secondary tool for the radiologists that help them in the segmentation and
feature extraction process. Platform: |
Size: 408576 |
Author:yokool |
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Description: In most of the approaches of computer-aided detection of breast cancer, one of the preprocessing steps applied to the mammogram is the removal/suppression of pectoral muscle, as its presence within the mammogram may adversely affect the outcome of cancer detection processes. Through this study, we propose an efficient automatic method using the watershed transformation for identifying the pectoral muscle in mediolateral oblique view mammograms. The watershed transformation of the mammogram shows interesting properties that include the appearance of a unique watershed line corresponding to the pectoral muscle edge. In addition to this, it is observed that the pectoral muscle region is oversegmented due to the existence of several catchment basins within the pectoral muscle Platform: |
Size: 1179648 |
Author:yokool |
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Description: Genetic Fuzzy System (GFS) based Wavelet
Co-occurrence Feature selection in Mammogram
Classification for Breast Cancer Diagnosis Platform: |
Size: 324608 |
Author:mustafa92
|
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