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 ...

In the days before artificial intelligence (AI) and machine learning (ML), clinicians performed this crucial yet painstaking ...

Abstract: Accurate medical image segmentation is critical to effective treatment strategies. Existing transformer-based methods for image segmentation mostly split the input image into a fixed and ...

Five leading medical image annotation tool stand out for research applications. iMerit delivers high-quality data annotation services tailored for healthcare AI projects. ITK-SNAP delivers powerful 3D ...

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 ...

Abstract: In the field of medical image processing, vascular image segmentation plays a crucial role in clinical diagnosis, treatment planning, prognosis, and medical decision-making. Accurate and ...

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, ...

When it comes to brain proteins, small changes can make a dramatic difference. Researchers studying NMDA (N-methyl-D-aspartate) receptors, which are essential for learning, memory and moment-by-moment ...