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Fig. 1 | Radiation Oncology

Fig. 1

From: Comparative clinical evaluation of atlas and deep-learning-based auto-segmentation of organ structures in liver cancer

Fig. 1

Segmentation of two-dimensional computer tomography (2D-CT) slice image using a (a) Fusion-Net-based deep convolutional neural network, b Atlas segmentation of MIM software. (conv: convolutional layer, res: residual layer, drop: dropout layer, batchnorm: batch normalization, max: maximum pooling layer, deconv: deconvolutional layer, merge: addition with the feature map from the encoding path by using a skip connection)

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