Analysis of Mammography for Identifying Cancer Cells using Convolution Neural Networks
Kolla Bhanu Prakash · International Journal of Advanced Trends in Computer Science and Engineering · 2020
Breast cancer is the largest causes of women's death.it is the most commonly diagnosed cancer worldwide.the main modules in breast cancer prediction are data collection data pre-processing feature selection and classification.it is important to detect breast cancer as early as possible.The chances of survival of the patient is high advanced classification techniques and artificial intelligence methods has largely been used for breast classification.inthe first part we will be reviewing our breast cancer histology image dataset and we will split the python script into three sets those are a training set, a validation set, a testing set.Next we will use keras libraries to define a convolutional neural network.