Towards Improving Breast cancer detection in Ultrasound Images using Deep Transfer Learning
Vadada Yamuna, M Monika, R R Amrisha, Arun Kumar S, S. Sasikala · 2023
Breast Cancer is a serious health issue that affects women all over the globe, and early detection of it is essential for effective treatment and better patient outcomes. Breast cancer detection techniques like mammography, ultrasound, magnetic resonance imaging, and biopsy have made major strides in recent years. These methods have demonstrated encouraging results in enhancing breast cancer detection accuracy and lowering false positives when used in alongside Artificial Intelligence (AI) and Machine Learning (ML) algorithms. But in this study, the images used belong to Elastography, Doppler Image and Ultrasound for the CNN, Inception v3 and Resnet-50 models. An accuracy of above 92% has been obtained using Inceptionv3 Transfer Learning. A Graphical User Interface (GUI) has been proposed for the detection of Breast Cancer.