Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks_2017
作者:Hao Dong , Guang Yang 等 訓練圖像被插值爲1*1*1,大小爲240×240×155,然後經過數據標準化(每套多模態MRI減去自己的均值,除以標準差). 腫瘤被分了4類,1.necrosis(壞死), 2.edema(水腫), 3.non-enhancing, 4.enhancing tumor.使用FLAIR圖像分割完整的腫瘤區域和除水腫之外的腫瘤,使用T1c(T1-w
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相關文章
- 1. Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks
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