Infant Brain Mri Segmentation

4 papers with code • 1 benchmarks • 0 datasets

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Greatest papers with code

3D Densely Convolutional Networks for VolumetricSegmentation

black0017/MedicalZooPytorch arXiv preprint 2017

The proposed network architecture provides a dense connection between layers that aims to improve the information flow in the network.

3D Medical Imaging Segmentation Brain Segmentation +3

Isointense Infant Brain Segmentation with a Hyper-dense Connected Convolutional Neural Network

josedolz/LiviaNET 16 Oct 2017

Neonatal brain segmentation in magnetic resonance (MR) is a challenging problem due to poor image quality and low contrast between white and gray matter regions.

Brain Segmentation Infant Brain Mri Segmentation

Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation

josedolz/SemiDenseNet 14 Dec 2017

We report evaluations of our method on the public data of the MICCAI iSEG-2017 Challenge on 6-month infant brain MRI segmentation, and show very competitive results among 21 teams, ranking first or second in most metrics.

Infant Brain Mri Segmentation Semantic Segmentation

3D Densely Convolutional Networks for Volumetric Segmentation

tbuikr/3D_DenseSeg 11 Sep 2017

The proposed network architecture provides a dense connection between layers that aims to improve the information flow in the network.

Brain Segmentation Infant Brain Mri Segmentation +1