Breast Cancer Detection Using Machine Learning
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Date
2019-06-13T10:28:46Z
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Abstract
Breast Cancer has been one of the major causes of death of women all around the world.
Early detection of cancer as well as proper treatment can reduce the risk of deaths. For
more accurate diagnosis, Machine Learning can be of great uses to the medical
professionals. There are various classifiers in machine learning but in this we present
Convolutional Neural Network for the detection and prediction of normal and abnormal
breast cancer.
For the purpose of developing a model to predict breast cancer Mammograms dataset is
used. These datasets are pre-labelled and with the help of this dataset we can develop a
more accurate classification model. CNN has been successfully used for diabetic retinopathy
screening, bone disease prediction and age assessment, and other problems. And it has
been well-known method for image recognition and extraction of features.
Pre-trained data sets VGG16, known for providing better prediction and feature extraction
has also been implemented. This helps in making the compilations faster and initiating
weights in a more approximate manner.
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1NH15EC085, 1NH15EC086