Infant Brain Mri Segmentation

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

No dataset record in the archive lists this task.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

4 shown of 4 papers with code (10 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation
  14 Dec 2017 1 repository listed
  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…
• Isointense Infant Brain Segmentation with a Hyper-dense Connected Convolutional Neural Network
  16 Oct 2017 1 repository listed
  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.
• 3D Densely Convolutional Networks for VolumetricSegmentation
  13 Sep 2017 1 repository listed
  The proposed network architecture provides a dense connection between layers that aims to improve the information flow in the network.
• 3D Densely Convolutional Networks for Volumetric Segmentation
  11 Sep 2017 1 repository listed
  The proposed network architecture provides a dense connection between layers that aims to improve the information flow in the network.