%0 Journal Article %1 noauthororeditor %A Alias, Anu %D 2017 %J Emerging Trends in Electrical, Electronics & Instrumentation Engineering: An international Journal (EEIEJ) %K Estimations Likelihood Maximum %N 3 %P 7 %T CALCULATION OF TUMOR IN BREAST USING MAXIMUM LIKELIHOOD ESTIMATION %U http://airccse.com/eeiej/papers/1314eeiej01.pdf %V 1 %X BSTRACT Area can be detected in cancer images by using MLE (Maximum Likelihood Estimation). Also this helps to find out the area of tumor affecting portions. DWT (Discrete Wavelet Transform) also used determine the values. ‘0’ is denoted by black in color and ‘1’ will be shown as white in color.Breast cancer is the mostharmful cancer for women in the todayworld. Early detection of the breast cancer can reduce mortality rate. The breast Tumor are of two types first is Benign and second is Malignant, Benign Tumor which is non-cancerous and not life threatening and Malignant Tumor are cancerous and life threatening. Detection of breast cancer can be determined by using Digital Mammography. The classification of breast tumor is denoted as Malignant or Benign.

@article{noauthororeditor, abstract = {BSTRACT Area can be detected in cancer images by using MLE (Maximum Likelihood Estimation). Also this helps to find out the area of tumor affecting portions. DWT (Discrete Wavelet Transform) also used determine the values. ‘0’ is denoted by black in color and ‘1’ will be shown as white in color.Breast cancer is the mostharmful cancer for women in the todayworld. Early detection of the breast cancer can reduce mortality rate. The breast Tumor are of two types first is Benign and second is Malignant, Benign Tumor which is non-cancerous and not life threatening and Malignant Tumor are cancerous and life threatening. Detection of breast cancer can be determined by using Digital Mammography. The classification of breast tumor is denoted as Malignant or Benign.}, added-at = {2017-11-08T12:32:46.000+0100}, author = {Alias, Anu}, biburl = {https://www.bibsonomy.org/bibtex/29c1b4707e2968cce21f1bddd5eec4554/kaety}, interhash = {a53ed80f029f5b1791acd437e95898a8}, intrahash = {9c1b4707e2968cce21f1bddd5eec4554}, journal = {Emerging Trends in Electrical, Electronics & Instrumentation Engineering: An international Journal (EEIEJ)}, keywords = {Estimations Likelihood Maximum}, month = {August}, number = 3, pages = 7, timestamp = {2017-11-08T12:32:46.000+0100}, title = {CALCULATION OF TUMOR IN BREAST USING MAXIMUM LIKELIHOOD ESTIMATION}, url = {http://airccse.com/eeiej/papers/1314eeiej01.pdf}, volume = 1, year = 2017 }