deepmancer/medseg-diffusion
A PyTorch implementation of MedSegDiff, a diffusion probabilistic model designed for medical image segmentation.
This project helps medical professionals, researchers, and imaging specialists accurately identify and outline specific structures within medical scans. By taking an input medical image (like an MRI or CT scan), it produces a precise segmentation mask that highlights areas like tumors or organs. Radiologists and clinical researchers can use this to enhance diagnostic workflows and quantify features for studies.
No commits in the last 6 months.
Use this if you need highly accurate and robust automated segmentation of structures in various medical images, from brain tumors to thyroid nodules.
Not ideal if you are looking for a tool for general image segmentation outside of medical contexts, or if you require real-time, low-latency processing for extremely time-sensitive applications.
Stars
18
Forks
4
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Dec 09, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/deepmancer/medseg-diffusion"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
huggingface/diffusers
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
bghira/SimpleTuner
A general fine-tuning kit geared toward image/video/audio diffusion models.
mcmonkeyprojects/SwarmUI
SwarmUI (formerly StableSwarmUI), A Modular Stable Diffusion Web-User-Interface, with an...
nateraw/stable-diffusion-videos
Create 🔥 videos with Stable Diffusion by exploring the latent space and morphing between text prompts
TheDesignFounder/DreamLayer
Benchmark diffusion models faster. Automate evals, seeds, and metrics for reproducible results.