diffusers and Awesome-Diffusion-Models-in-Medical-Imaging
B is a specialized research collection and application of the general-purpose diffusion model framework provided by A, making them complements where A serves as the foundational library that B's medical imaging implementations would build upon.
About diffusers
huggingface/diffusers
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
This library helps developers and researchers create or use AI models that generate new images, audio, or even molecular structures. You provide text descriptions or existing data, and it outputs novel visual, auditory, or structural content. It's designed for machine learning practitioners and AI artists.
About Awesome-Diffusion-Models-in-Medical-Imaging
amirhossein-kz/Awesome-Diffusion-Models-in-Medical-Imaging
Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)
This resource curates a collection of research papers focused on Diffusion Models specifically for medical imaging applications. It provides an overview of various uses, such as anomaly detection, denoising, and image generation, within radiology and other medical fields. Medical researchers, imaging scientists, and AI practitioners in healthcare would find this valuable for staying current with advanced image analysis techniques.
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