Abstract: We propose a method for semantic segmentation of 3D non-contrast computed tomography brain images of acute ischemic stroke using transformer neural networks. To improve the segmentation ...

Abstract: Convolutional neural networks (CNNs) have emerged as a preferred approach for medical image analysis. The dimensionality of images is a principal factor in CNN models, as they are designed ...

Recent technological and scientific advances have opened new possibilities for neuroscience research, which is in turn leading to interesting new discoveries. Over the past few years, many groups of ...

In a little over ten years, organoid models – miniature, lab-grown clusters of cells that imitate real organs – have transformed how we study human development and disease while accelerating drug ...

Though it may seem like fiction, we may one day see computational hardware constructed from living human brain cells rather than traditional silicon. A biocomputer harnesses biologically derived ...

Scientists at the Swiss Light Source SLS have succeeded in mapping a piece of brain tissue in 3D at unprecedented resolution using X-rays, non-destructively. The breakthrough overcomes a long-standing ...