Proceedings of the Annual Conference of JSAI
Online ISSN : 2758-7347
33rd (2019)
Session ID : 4C3-J-13-02
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Subtype Classification of Breast Cancer based on MRI Image
*Shioro NAKAMURAKenta TANAKAHajime YOKOTATakuya ADACHIYoichi MACHIDATakuro HORIKOSHIJoji OHTAYasukuni MORIHiroki SUYARI
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Abstract

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%.

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© 2019 The Japanese Society for Artificial Intelligence
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