Application for Breast Cancer Detection Based on Convolutional Neural Network
Tianye Fan · Atlantis Highlights in Computer Sciences/Atlantis highlights in computer sciences · 2023
Breast cancer starts in breast cells when they grow out of control.It is life-threatening and is common among women.Diagnosis of breast cancer is a challenging task as well as time consuming.In this paper, a new idea for breast cancer diagnosis is discussed.Namely, a convolutional neural network (CNN) method is proposed to assist classification of breast cancer.Two different models are discussed in this paper.Testing results is done using performance metric for all models.On top of the models that classify breast cancer, a practical application is also discussed and implemented that utilized the proposed model.It is not only capable of breast cancer diagnosis but delivers the results flexibly with an AI chatbot.The proposed model performs well with testing accuracy of 98%.The application is also well tested that can perform automated breast cancer diagnosis quickly to reduce the work of the clinic significantly.