Classifying mammographic images for predicting breast cancer using CNN
Poonam Shourie, Vatsala Anand, Sheifali Gupta · 2023
In the whole world, breast cancer is among the most common and dangerous diseases affecting women’s health. For the identification of breast cancer to be effective and for patient outcomes to be improved, it must be done efficiently and precisely. The development of computer-aided diagnostic systems utilizing deep learning approaches has gained popularity as massive mammographic imaging datasets have been more widely available. In the suggested study, convolutional neural networks (CNNs) are used to categorizes breast cancer in great detail. CNNs are a viable method used for classifying breast cancer since they have demonstrated great effectiveness in a variety of medical image recognition tasks. The proposed methodology covers the most recent innovations, approaches, and difficulties related to CNN-based breast cancer categorization and has been tested on various parameters and achieved results as good as 98 percent the receiver operating characteristic curve's (AUC-ROC) area under the curve.