Project Info

Project Id:16231

Breast cancer is a dominant cancer in women worldwide and is increasing in developing countries where the majority of cases are diagnosed in late stages. The project that is been proposed is shown on an implementation of machine learning classifier algorithm that has produced as 98% accuracy on the Wisconsin Diagnostic Breast Cancer (WDBC) dataset which is extracted from a digitised image of an MRI.The model take multiple parameters and detects whether He/She is suffering from breast cancer.

• Model depends on the WDBC dataset
• Provides Highest Accuracy
• Can be used on different Datasets
• Web based User Interface