Attention gate resU-Net for automatic MRI brain tumor segmentation

J Zhang, Z Jiang, J Dong, Y Hou, B Liu - IEEE Access, 2020 - ieeexplore.ieee.org
Brain tumor segmentation technology plays a pivotal role in the process of diagnosis and
treatment of MRI brain tumors. It helps doctors to locate and measure tumors, as well as
develop treatment and rehabilitation strategies. Recently, MRI brain tumor segmentation
methods based on U-Net architecture have become popular as they largely improve the
segmentation accuracy by applying skip connection to combine high-level feature
information and low-level feature information. Meanwhile, researchers have demonstrated …

[PDF][PDF] Attention Gate ResU-Net for Automatic MRI Brain Tumor Segmentation

Y HOU, BIN LIU - scholar.archive.org
Brain tumor segmentation technology plays a pivotal role in the process of diagnosis and
treatment of MRI brain tumors. It helps doctors to locate and measure tumors, as well as
develop treatment and rehabilitation strategies. Recently, MRI brain tumor segmentation
methods based on U-Net architecture have become popular as they largely improve the
segmentation accuracy by applying skip connection to combine high-level feature
information and low-level feature information. Meanwhile, researchers have demonstrated …
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