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Fig. 2 | Radiation Oncology

Fig. 2

From: A deep image-to-image network organ segmentation algorithm for radiation treatment planning: principles and evaluation

Fig. 2

Deep Image-to-Image Network (DI2IN) for organ segmentation. Deep Image-to-Image Network (DI2IN) for organ segmentation. S: stride, Conv: convolution, Cin: number of input channels, Cout: number of output channels, C: number of channels for convolutions where the input and output channels are equal, ReLU: rectified linear unit, BN: batch normalization, N: number of output channels, N is set to 1 for single-organ segmentation, and to 1 + number of organs for multi-organ segmentation

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Radiation Oncology

ISSN: 1748-717X

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