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H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes
時間 2021-01-10
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Abstract 肝癌是導致癌症死亡的主要原因之一。爲了輔助醫生進行肝細胞癌的診斷和治療規劃,在臨牀實踐中迫切需要一種準確、自動化的肝腫瘤分割方法。近年來,全卷積神經網絡(FCNs),包括二維和三維的FCNs,成爲許多體積圖像分割的主幹。**然而,二維卷積不能充分利用三維空間信息,而三維卷積計算成本高,GPU內存消耗大。**爲了解決這些問題,我們提出了一種新的混合密集連接的UNet (H-Dens
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相關文章
1.
3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes-筆記
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《UNet++: A Nested U-Net Architecture for Medical Image Segmentation》論文翻譯
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