脳梗塞CT画像に対する機械学習の適用要件について

抄録

Our aim is to detect hyperacute ischaemic stroke lesions in the CT images using the variational auto-encoder, one of a recently developing machine learning algorithms. In its installation process, several requirements such as segmentation, dataset structure, image quality, pre-processing, and verification method were identified. Then we discussed the possibility of using pattern feature models as an alternative method to alleviate the constraints.