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 ...

This new product offering is a machine learning- based auto segmentation module that builds on Synopsys' ScanIP software, a comprehensive solution for 3 D image ...

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 ...

This article was published on January 20, 2021. Deep tech; How machine learning enhances customer segmentation January 20, 2021 - 10:00 am ...

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 ...

Deep learning, a subset of machine learning represents the next stage of development for AI. By using artificial neural networks that act very much like a human brain, machines can take data in ...

Machine Learning to Predict Risk of Relapse Using Cytologic Image Markers in Patients With Acute Myeloid Leukemia ... Brox T: U-net: Convolutional networks for biomedical image segmentation. arXiv ...

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 ...