medical-10

Infant Brain Mri Segmentation

3260 papers • 126 benchmarks • 313 datasets

This task has no description! Would you like to contribute one?

(Image credit: Papersgraph)

Benchmarks

These leaderboards are used to track progress in infant-brain-mri-segmentation-20

Trend

Dataset

Best Model

Actions

iSEG 2017 Challenge

Libraries

i

Use these libraries to find infant-brain-mri-segmentation-20 models and implementations

Datasets

No datasets available.

Subtasks

No subtasks available.

Most implemented papers

3D Densely Convolutional Networks for Volumetric Segmentation

Taesup Moon, T. Bui, Jitae Shin•Sun Sep 10 2017

A novel very deep network architecture based on a densely convolutional network for volumetric brain segmentation that provides a dense connection between layers that aims to improve the information flow in the network.

85

Content

0

Paper Graph

Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation

Christian Desrosiers, D. Shen, Jing Yuan, Ismail Ben Ayed, J. Dolz, Li Wang•Wed Dec 13 2017

This work is the first ensemble of 3D CNNs for suggesting annotations within images, and allows the efficient propagation of gradients during training, while limiting the number of parameters, requiring one order of magnitude less parameters than popular medical image segmentation networks such as 3D U-Net.

119 0

Paper Graph

Adding a benchmark result helps the community track progress.