openmedical/registry
← registry

ai4elife

imported

software/ai4elife

This data-centric AI repository implements a robust deep learning method (LFBNet) for fully automated tumor segmentation in whole-body [18]F-FDG PET/CT images.

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

ai4elife project image
GitHub preview card for KibromBerihu/ai4elife. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
maintained
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Repository
github.com/KibromBerihu/ai4elife
Documentation
unknown
Tags
ai · automated-pet-segmentation · biomarkers · data-analysis · data-centric-ai · deep-learning · fdg-pet · image-segmentation · lymphoma · medical-imaging · pet · pet-ct-segmentation · pet-segmentation · survival-analysis · whole-body-segmentation
Regulatory
unknown
built by · 1

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

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.

  • MIPsegmentatorV1lymphoma · pet · whole-body-segmentation

    A 3D lesion segmentation method on whole-body PET images including automated quality control.

  • Gatemedical-imaging · pet

    Official public repository of Gate

  • med-imaging-primermedical-imaging · pet

    A systematic guide from physical imaging principles(医学影像处理开源教程), reconstruction algorithms to deep learning post-processing. https://datawhalechina.github.io/med-imaging-primer/

  • NIPETmedical-imaging · pet

    High-throughput PET image reconstruction with high quantitative accuracy and precision

  • OMEGAmedical-imaging · pet

    Open-source multi-dimensional tomographic reconstruction software (OMEGA)

  • PETBrainPreprocessingmedical-imaging · pet

    Robust Nipype pipeline for preprocessing PET BIDS brain data.

sources
  1. api.github.com/repos/KibromBerihu/ai4elife
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2025-12-12, 41 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/6.json→ .entries["ai4elife"]

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