Multi-level Context Gating of Embedded Collective Knowledge for Medical Image Segmentation

Medical image segmentation has been very challenging due to the large variation of anatomy across different cases. Recent advances in deep learning frameworks have exhibited faster and more accurate performance in image segmentation... (read more)

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Datasets


Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Lesion Segmentation ISIC 2018 MCGU-Net Dice Score 0.895 # 2

Methods used in the Paper


METHOD TYPE
Tanh Activation
Activation Functions
Sigmoid Activation
Activation Functions
ConvLSTM
Recurrent Neural Networks
Concatenated Skip Connection
Skip Connections
ReLU
Activation Functions
Max Pooling
Pooling Operations
Convolution
Convolutions
U-Net
Semantic Segmentation Models