Analysis of Mammograms using Texture Segmentation
نویسندگان
چکیده
منابع مشابه
Texture Analysis of Mammograms
Breast cancer is the most common form of cancer of women. According to statistics, one out of every eight women will develop breast cancer in her lifetime. Thanks to recent advances in medicine, there are more and more effective methods in the treatment of breast cancer. Since the cause of breast cancer is unknown, early detection is very important. If detected early, the fiveyear survival rate...
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Breast cancer is the most common form of cancer of women. Every 12th woman suffers from this disease at least once in her lifetime [5]. Since the cause of breast cancer is unknown, early detection is very important. If detected early, the five-year survival rate exceeds 95%. If a global screening were done, a huge number of mammograms (approximately a million every year in Hungary) would requir...
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Texture image analysis is one of the most important working realms of image processing in medical sciences and industry. Up to present, different approaches have been proposed for segmentation of texture images. In this paper, we offered unsupervised texture image segmentation based on Markov Random Field (MRF) model. First, we used Gabor filter with different parameters’ (frequency, orientatio...
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Texture image analysis is one of the most important working realms of image processing in medical sciences and industry. Up to present, different approaches have been proposed for segmentation of texture images. In this paper, we offered unsupervised texture image segmentation based on Markov Random Field (MRF) model. First, we used Gabor filter with different parameters’ (frequency, orientatio...
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ژورنال
عنوان ژورنال: Research in Computing Science
سال: 2016
ISSN: 1870-4069
DOI: 10.13053/rcs-123-1-11