Breast Cancer Predictor
According to the World Health Organization (WHO), breast cancer is the most common cancer among women worldwide. It is the fifth leading cause of cancer-related deaths in both men and women. In 2020, breast cancer caused an estimated 685,000 deaths worldwide. Detecting breast cancer at an early stage increases the chances of successful treatment, reduces the risk of cancer spreading to other parts of the body, and improves overall survival rates. Deep learning techniques, including machine learning algorithms and neural networks, have been increasingly utilized in medical research and clinical applications, including cancer detection and prediction. For the early detection of breast cancer, we have developed BusUltraNet powered by deep learning.The developed model is trained on Ulrasound images of patients. In just a few simple steps, the user can predict breast cancer. The page contains details about the steps.
Intelligently understands & Automatically Recommends
Quick Search and Select disease
Select the desired indicator for performing prediction for instance Breast cancer.
Select GPU
A GPU is automatically allocated to train your data before performing prediction.
Upload Images
Upload your dataset containing the ultrasound of the patient.
Perform Prediction
Perform prediction and view the results. The results will tell you whether a patient has malignant or benign cancer. The visual representation and the confidence score of the results are also given.