A deep learning model integrating FCNNs and CRFs for brain tumor segmentation
摘要： 1.通過將完全卷積神經網絡（FC-NN）和條件隨機場（CRF）集成在一個統一的框架中，得到一種新的腦腫瘤分割方法，以獲得具有外觀和空間一致性的分割結果。 2.步驟： 我們使用2D圖像訓練基於深度學習的分割模型 以下步驟中的塊和圖像切片： 1）使用圖像塊訓練FCNN; 2）使用固定FCNN參數的圖像切片訓練CRF作爲迴歸神經網絡（CRF-RNN）; 3）使用圖像切片微調FCNN和CRF-RN
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