sotiraslab/AgileFormer
This the repo for the paper tiltled "AgileFormer: Spatially Agile Transformer UNet for Medical Image Segmentation"
This project helps medical professionals and researchers automatically identify and outline specific organs, tumors, or other structures within medical images like MRI or CT scans. You input a medical image, and it outputs a precise segmentation mask, highlighting the target area. This tool is designed for medical image analysts, radiologists, or clinical researchers who need to accurately delineate anatomical structures for diagnosis, treatment planning, or quantitative analysis.
No commits in the last 6 months.
Use this if you need highly accurate, automated segmentation of organs or abnormalities in medical imaging datasets, especially when objects vary significantly in size and shape.
Not ideal if you primarily work with non-medical images or require a simple, off-the-shelf solution without advanced customization or development work.
Stars
81
Forks
10
Language
Python
License
Apache-2.0
Last pushed
Jul 12, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/sotiraslab/AgileFormer"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
qubvel-org/segmentation_models.pytorch
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
tue-mps/eomt
[CVPR 2025 Highlight] Official code and models for Encoder-only Mask Transformer (EoMT).
OSUPCVLab/SegFormer3D
Official Implementation of SegFormer3D: an Efficient Transformer for 3D Medical Image...
jeya-maria-jose/Medical-Transformer
Official Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image...
davidiommi/Pytorch--3D-Medical-Images-Segmentation--SALMON
Segmentation deep learning ALgorithm based on MONai toolbox: single and multi-label segmentation...