Mayo Clinic AI researchers present machine learning-based method for leveraging diffusion patterns to build a multitasking brain tumor inpainting algorithm

Mayo Clinic AI researchers present machine learning-based method for leveraging diffusion patterns to build a multitasking brain tumor inpainting algorithm

The number of publications on artificial intelligence and, in particular, machine learning (ML) related to medical imaging has increased significantly in recent years. A current PubMed search using the Mesh keywords “artificial intelligence” and “radiology” yielded 5,369 articles in 2021, more than five times the results found in 2011. ML models are constantly being developed…

Diffusion Models Beat GANs at Image Classification: This AI Research Finds Diffusion Models Outperform Comparable Generative-Discriminator Methods Like BigBiGAN for Classification Tasks

Diffusion Models Beat GANs at Image Classification: This AI Research Finds Diffusion Models Outperform Comparable Generative-Discriminator Methods Like BigBiGAN for Classification Tasks

Learning unified and unsupervised visual representations is a crucial but difficult task. Many computer vision problems fall into two basic categories: discriminative or generative. A model that can assign labels to individual images or slices of images is trained by learning the discriminant representation. To use generative learning, you would create a model that creates…