Classification of mammograms using decision trees

L Vibha, GM Harshavardhan, K Pranaw… - 2006 10th …, 2006 - ieeexplore.ieee.org
L Vibha, GM Harshavardhan, K Pranaw, PD Shenoy, KR Venugopal, LM Patnaik
2006 10th International Database Engineering and Applications …, 2006ieeexplore.ieee.org
Mammography is a medical imaging technique that combines, low-dose radiation and high-
contrast, high-resolution film for examination of the breast and screening for breast cancer.
This paper proposes a random forest decision classifier (RFDC) for classifying
mammograms. Results of screening the mammograms are organised by classification and
finally grouped into three categories ie, normal, cancerous and benign. Experimental results
show that this method performs well with the classification accuracy reaching nearly 90% in …
Mammography is a medical imaging technique that combines, low-dose radiation and high-contrast, high-resolution film for examination of the breast and screening for breast cancer. This paper proposes a random forest decision classifier (RFDC) for classifying mammograms. Results of screening the mammograms are organised by classification and finally grouped into three categories i.e., normal, cancerous and benign. Experimental results show that this method performs well with the classification accuracy reaching nearly 90% in comparison with the already existing algorithms
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