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Description: Optical Mammography Image Enhancment
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Size: 1024 |
Author: SteveMack |
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Description: 本文建立了一个基于模块化设计思路的计算机辅助诊断系统借以对乳腺钼靶图像上的微钙化点进行检测和模式识别。
-In this paper, a modular design concept based on computer-aided diagnostic system to mammography for breast microcalcifications on the image to detect and pattern recognition.
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Size: 3465216 |
Author: 罗朝辉 |
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Description: Breast cancer is the second most common cause of cancer death in women. Early
detection is the only way to reduce the mortality. Mammography is the best available
technique used for earlier detection. But due to manual reading the performance of
diagnosis varies from 65 to 85 -Breast cancer is the second most common cause of cancer death in women. Early
detection is the only way to reduce the mortality. Mammography is the best available
technique used for earlier detection. But due to manual reading the performance of
diagnosis varies from 65 to 85
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Size: 239616 |
Author: Divya Hiremath |
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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.
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Size: 408576 |
Author: yokool |
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Description: Vector quantization (VQ) is one of the lossy data compression
techniques[1], [2] and has been used in number of
applications, like pattern recognition [3], speech recognition
and face detection [4], [5], image segmentation [6-9], speech
data compression [10], Content Based Image Retri (CBIR)
[11], [12], Face recognition[13], [14] iris recognition[15],
tumor detection in mammography images [29] etc.-Vector quantization (VQ) is one of the lossy data compression
techniques[1], [2] and has been used in number of
applications, like pattern recognition [3], speech recognition
and face detection [4], [5], image segmentation [6-9], speech
data compression [10], Content Based Image Retri (CBIR)
[11], [12], Face recognition[13], [14] iris recognition[15],
tumor detection in mammography images [29] etc.
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Size: 5120 |
Author: noufal |
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Description: Digital Mammography Image Enhancement Improved Unsharp Masking Approach
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Size: 2477056 |
Author: voidyy
|
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Description: Image processing algorithms for detecting breast cancer with mammography or tramography
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Size: 711680 |
Author: saeedi
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