Detection and Staging of Invasive Ductal Carcinoma Using Deep Learning and CNN
Shreyas Sudhanva, C S Shashank, N Samanth, N Chaitra · 2023
Breast Cancer occurs when cells in the breast grow and multiply in an uncontrolled manner. It can be localised or spread to and invade other parts of the body. Invasive Ductal Carcinoma is the most frequent sub-type of Breast Cancer documenting for over 75% of all Breast Cancer cases. Detection and diagnosis of IDC involves a combination of tests and procedures. This process can be challenging and time consuming. Usage of AI can greatly aid this process by reducing false positives and as an implication, reduce diagnosis times. Early detection and diagnosis can improve survival numbers significantly. This paper explores the prediction of malignancy, detection of IDC, predicts its appropriate stage and compares the performance of several algorithms with varying accuracies with the highest one yielding 97.32%