meddelinea
Science Score: 44.0%
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○Scientific vocabulary similarity
Low similarity (6.3%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: Onkarsus13
- License: apache-2.0
- Language: Python
- Default Branch: main
- Size: 6.65 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 1
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
MedDelinea: Scalable and Efficient Medical Image Segmentation via Controllable Diffusion Transformers
📌 Accepted at MIDL 2025
🧠 Overview
MedDelinea is a novel framework for medical image segmentation that combines the strengths of diffusion models and transformers. Our approach introduces controllability and scalability into the segmentation process, enabling accurate, efficient, and interpretable delineation of complex medical structures across a variety of imaging modalities.
Key highlights: - Combines controllable diffusion with transformer-based architectures - Demonstrates strong performance across multiple medical segmentation benchmarks - Efficient inference with competitive parameter count
📝 Citation
If you find our work useful in your research, please cite:
Installation
cd DiffCTSeg
pip install -e ".[torch]"
pip install -e .[all,dev,notebooks]
```bibtex @inproceedings{susladkar2025meddelinea, title={MedDelinea: Scalable and Efficient Medical Image Segmentation via Controllable Diffusion Transformers}, author={Susladkar, Onkar and [Co-authors]}, booktitle={Proceedings of the Medical Imaging with Deep Learning (MIDL)}, year={2025} }
Owner
- Name: ONKAR Susladkar
- Login: Onkarsus13
- Kind: user
- Repositories: 66
- Profile: https://github.com/Onkarsus13
Artifitial Inteegence | Deep learning | Computer Vision | Natural language Prosessing |
Citation (CITATION.cff)
cff-version: 1.2.0
title: 'Diffusers: State-of-the-art diffusion models'
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Patrick
family-names: von Platen
- given-names: Suraj
family-names: Patil
- given-names: Anton
family-names: Lozhkov
- given-names: Pedro
family-names: Cuenca
- given-names: Nathan
family-names: Lambert
- given-names: Kashif
family-names: Rasul
- given-names: Mishig
family-names: Davaadorj
- given-names: Thomas
family-names: Wolf
repository-code: 'https://github.com/huggingface/diffusers'
abstract: >-
Diffusers provides pretrained diffusion models across
multiple modalities, such as vision and audio, and serves
as a modular toolbox for inference and training of
diffusion models.
keywords:
- deep-learning
- pytorch
- image-generation
- diffusion
- text2image
- image2image
- score-based-generative-modeling
- stable-diffusion
license: Apache-2.0
version: 0.12.1
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