When doctors review brain scans, each detail of the picture—each pixel or voxel—must be painstakingly labeled. The cerebral ...

When doctors analyze a medical scan of an organ or area in the body, each part of the image has to be assigned an anatomical ...

When doctors analyze a medical scan of an organ or area in the body, each part of the image has to be assigned an anatomical label. If the brain is under scrutiny for instance, its different parts ...

Overview of VeloxSeg. VeloxSeg employs an encoder-decoder architecture with Paired Window Attention (PWA) and Johnson-Lindenstrauss lemma-guided convolution (JLC) on the left, using 1x1 convolution as ...

1 School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China 2 School of Intelligent Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, ...

[nature biomedical engineering 2025] Official code for paper: A generalist foundation model and database for open-world medical image segmentation (MedSegX) ...

Assessing the risk of radiation-induced hematologic cancer from medical imaging in children and adolescents might support informed decisions on the use of imaging. We followed a retrospective cohort ...

bDepartment of Orthopedic Surgery, Mayo Clinic, Rochester, MN, USA Generative artificial intelligence has emerged as a transformative force in medical imaging since 2022, enabling the creation of ...

A medical image denoising method based on principles of quantum mechanics outperform machine learning, statistical methods, and neural networks. The same approach could aid quantum computing ...