openmedical/registry
← registry

ASF-YOLO

imported

software/asf-yolo

[IMAVIS] Official implementation of "ASF-YOLO: A Novel YOLO Model with Attentional Scale Sequence Fusion for Cell Instance Segmentation".

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

record
Category
Software & Systems
Subcategory
unknown
License
AGPL-3.0(osi)
Status
maintained
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
breast-cancer-cell · breast-cancer-segmentation · cell-detection · cell-segmentation · computer-vision-algorithms · data-science-bowl-2018 · deep-learning-framework · deep-neural-networks
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.

  • Facial Expression Recognition (FER) for Mental Health Detection applies AI models like Swin Transformer, CNN, and ViT for detecting emotions linked to anxiety, depression, PTSD, and OCD. It focuses…

  • cellfindercell-detection

    Automated 3D cell detection in very large images

  • DATA-SCIENCE-BOWL-2018data-science-bowl-2018

    DATA-SCIENCE-BOWL-2018 Find the nuclei in divergent images to advance medical discovery

  • MCADS-Decoderdata-science-bowl-2018

    Rethinking Decoder Design: Improving Biomarker Segmentation Using Depth-to-Space Restoration and Residual Linear Attention - Accepted in CVPR 2025

  • BCCD_Datasetcell-detection

    BCCD (Blood Cell Count and Detection) Dataset is a small-scale dataset for blood cells detection.

  • cellseg_models.pytorchcell-segmentation

    Encoder-Decoder Cell and Nuclei segmentation models

sources
  1. api.github.com/repos/mkang315/ASF-YOLO
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2025-12-16, 117 stars, license reported as AGPL-3.0. 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["asf-yolo"]

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