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xunet

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software/xunet

A simple modular U-Net library for medical image segmentation.

Machine-generated from the listed sources and not yet reviewed by a human.

xunet project image
GitHub preview card for pashtari/xunet. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
Apache-2.0(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
medical-image-segmentation · pytorch · u-net
Regulatory
unknown
similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • kits19.MIScnnmedical-image-segmentation · u-net

    Kidney Tumor Segmentation Challenge 2019: MIScnn - 3D Residual U-Net

  • Mobile-U-ViTmedical-image-segmentation · u-net

    [ACM MM 2025] Mobile U-ViT: Revisiting large kernel and U-shaped ViT for efficient medical image segmentation

  • U-Benchmedical-image-segmentation · u-net

    U-Bench: A Comprehensive Understanding of U-Net through 100-Variant Benchmarking

  • ukb_segmentationpytorch · u-net

    PyTorch implementation for 2.5D U-Net segmentation of UK Biobank neck-to-knee body MRI

  • active-segmentationmedical-image-segmentation · pytorch

    ActiveSegmentation: A Simulation Framework for Benchmarking Active Learning Strategies for 3D Medical Image Segmentation

  • Agentic-Smart-Healthmedical-image-segmentation · pytorch

    Multi-agent system that unifies heterogeneous dental data (CBCT, STL, clinical reports, photos) into a patient Digital Twin built on Gaussian Splatting, with per-region clinical attributes and…

sources
  1. api.github.com/repos/pashtari/xunet
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2023-03-23, 5 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/25.json→ .entries["xunet"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.