Authors - Sunkyo Jeong, Yongbeom Park Abstract - The brisk developments of advanced deep learning techniques have led to diverse applications of it in different sectors, including healthcare sec tor. Breast cancer is one of the most common and deadly cancer amongst women and the success percentage of the treatment depends heavily on the stage at which the detection happens. This field opens gateway of deep learn ing application in detecting of breast cancer tumour type at an early stage. In this research paper, model and the application of a CNN based early breast cancer detection algorithm is proposed. In this approach, the Wisconsin Hos pital Breast Cancer Database is considered to train the model and test the accu racy of the model. This study shows promising results by concluding Convolu tional neural network-based model is 98.24 % accurate which this better than previous models. Moreover, this paper proves that such application of deep learning techniques holds huge promise for bettering healthcare sector.
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