"Our results…could suggest that the performance of the ellipsoid method strongly depends on the experience of the operator, and that it is a useful method for estimating TKV with acceptable ...

Primary lung cancer remains the leading cause of cancer-related death in the Western world, and the lung is a common site for recurrence of extrathoracic malignancies. Small-animal (rodent) models of ...

Researchers from Peking University Third Hospital have developed a novel collaborative framework that integrates various semi-supervised learning techniques to enhance MRI segmentation using unlabeled ...

Different approaches to gray and white matter measurements in magnetic resonance imaging (MRI) have been studied. For clinical use, the estimated values must be reliable and accurate when, ...

Drawing inspiration from the popular VGG networks, the paper proposes using a deep convolutional neural network architecture with small convolutional kernels for segmentation of gliomas in MRI images.

T1-weighted MRIs have been chosen for our study due to the difficulties in achieving a better clustering for brain tissue regions. The clustering segmentation method processed MRIs of brain tissue ...