Paper

Multi-dimensional Gated Recurrent Units for Automated Anatomical Landmark Localization

We present an automated method for localizing an anatomical landmark in three-dimensional medical images. The method combines two recurrent neural networks in a coarse-to-fine approach: The first network determines a candidate neighborhood by analyzing the complete given image volume... (read more)

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