Until recently, segmentation required large, compute-intensive neural networks. This made it difficult to run these deep learning models without a connection to cloud servers. In their latest work ...

It is a deep learning framework intended for image classification and segmentation. It has features like simple CPU and GPU switching, optimised model definition and configuration, computation ...

Tools used include image registration, image segmentation, machine learning, etc. Particularly to serve cancer and stem cell imaging, I developed the cryo-imaging system and software, which enables 3D ...

Tools used include image registration, image segmentation, machine learning, etc. Particularly to serve cancer and stem cell imaging, I developed the cryo-imaging system and software, which enables 3D ...