A multi-label classification model for full slice brain computerised tomography image.
Jianqiang LiGuanghui FuYueda ChenPengzhi LiBo LiuYan PeiHui FengPublished in: BMC bioinformatics (2020)
The proposed model is a new architecture that uses a full-slice brain CT scan for multi-label classification, unlike the traditional methods which only classify the brain images at the slice level. It has great potential for application to multi-label detection problems, especially with regard to the brain CT images.
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