Abstract: Encoder-decoder networks are state-of-the-art approaches to biomedical image segmentation ... receptive fields by increasing the kernel sizes of convolutional layers in steps (e.g., from 3 × ...

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Our model works with volumetric binary segmentation images, and requires no pre-processing such as ... Thanks to the adopted autoencoder framework, inter-subject differences are automatically enhanced ...