Paper

Normalization in Training U-Net for 2D Biomedical Semantic Segmentation

2D biomedical semantic segmentation is important for robotic vision in surgery. Segmentation methods based on Deep Convolutional Neural Network (DCNN) can out-perform conventional methods in terms of both accuracy and levels of automation... (read more)

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