MobileUtr
importedsoftware/mobileutr
Official Pytorch Code base for "MobileUtr: Revisiting the relationship between light-weight CNN and Transformer for efficient medical image segmentation"
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- maintained
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/FengheTan9/MobileUtr
- Documentation
- unknown
- Tags
- medical-image-processing · medical-image-segmentation · medical-imaging · u-net-pytorch
- Regulatory
- unknown
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.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- LightMedmedical-image-processing · medical-image-segmentation · medical-imaging
FFTMed: leveraging fast-fourier transform for a lightweight and adversarial-resilient medical image segmentation framework (published at Scientific Reports - Nature)
- osparc-isegmedical-image-processing · medical-image-segmentation · medical-imaging
The Medical Image Segmentation Tool Set (iSEG) is a fully integrated segmentation (including pre- and postprocessing) toolbox for the efficient, fast, and flexible generation of anatomical models…
- AUDITmedical-image-processing · medical-image-segmentation
AUDIT - Analysis & Evaluation Dashboard of Artificial Intelligence
- CapsNetsLASegmedical-image-processing · medical-image-segmentation
Capsule Networks and Convolutional Neural Networks for the Automated Segmentation of Left Atrium in Cardiac MRI
- kits19.MIScnnmedical-image-processing · medical-image-segmentation
Kidney Tumor Segmentation Challenge 2019: MIScnn - 3D Residual U-Net
- MedVisionmedical-image-processing · medical-image-segmentation
Medical Image Vision Operators, such as RoIAlign, DCNv1, DCNv2 and NMS for both 2/3D images.
- api.github.com/repos/FengheTan9/MobileUtrretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2025-08-12, 31 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 →
/v1/entries/44.json→ .entries["mobileutr"]
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