The field of medical imaging is witnessing a rapid transformation through the integration of artificial intelligence (AI), particularly in the development ...

Osaka Metropolitan University researchers proposed a geometry-aware framework for automatically removing human noise from TLS ...

Abstract: This study investigates the possibility of segmenting modeled images of optical vortices using neural networks. An original dataset was collected for the training and testing of neural ...

Abstract: Learning from AI-generated annotations is well-recognized as a key advance of deep learning techniques in medical image segmentation. Towards this direction, in this paper, we investigate ...