Reviews: Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation

The paper is generally well written and easy to understand. I quite like the proposed model: kU-net provides an answer to the ability to capture multi-scale features within a medical image, and the bi-directional LSTM scheme is an elegant way to account for broader context from the z-dimention. However, I offer a few reservations to the paper as it currently stands. Standard ways of dealing with anisotropy include resampling (e.g. For datasets in which the across-plane resolution is reasonably close to the within-plane one (e.g.