Breast Tumor Classification Using Deep Learning
Sarthak Gupta, Gurleen Kaur, Kanmani P · 2023
The objective of this project is to sort all the metrics obtained from a patient's breast cancer into various types by utilizing two models.The initial step involves using the ensemble-type CNN model as a binary classifier to distinguish the metrics into benign or malignant class.The subsequent step employs the custom CNN model to filter the images and classify them into each of the two subtypes.Detecting and categorizing tumours manually is the only alternative to machine learning for breast cancer classification.However, human involvement in this method increases the possibility of errors.Hence, incorporating this "second set of eyes" through machine learning can ensure that fewer people get misdiagnosed.