Host: The Japanese Society for Artificial Intelligence
Name : The 33rd Annual Conference of the Japanese Society for Artificial Intelligence, 2019
Number : 33
Location : [in Japanese]
Date : June 04, 2019 - June 07, 2019
Breast cancer can be roughly divided into 4 subtypes depending on the characteristics of genes. The treatment strategy of breast cancer depends on the subtypes, so it is necessary to determine the subtypes quickly and accurately. Currently, subtypes are classified by a method of collecting cancer cells from patients. This method causes a lot of pains on the patient. Therefore, in this paper, we propose a method to classify subtypes from MRI images of patients and aim to reduce the pains on patients. We use Residual Network, and gained an overall accuracy of 67.3%.