AI in Medicine Seminar Series: “ScanXm – A new software tool for the visualization, annotation, and segmentation of biomedical images”

October 10, 2023

The next seminar will be held on the 24th October, University of Cambridge and will feature:

“ScanXm – A new software tool for the visualization, annotation, and segmentation of biomedical images.” – Dr. Tristan Whitmarsh, Institute of Astronomy, University of Cambridge

ScanXm is a newly released software tool developed by Tristan Whitmarsh at the University of Cambridge. It aims to provide a simple and user-friendly interface for the annotation of 2D and 3D medical and biomedical images. ScanXm also includes several deep learning modules for image processing and the automatic segmentation of various organs and tissue types. Notably, this software requires no Python coding, will run without an expensive GPU, and does not use cloud computing, thus keeping your confidential patient data safe. Through a recent collaboration with NVIDIA, ScanXm now seamlessly integrates with MONAI Label. This integration enables ScanXm to run powerful AI models such as vision transformers, both locally and on a cloud platform. Additionally, it grants access to all publicly released AI models in the MONAI Model Zoo. In this talk, Tristan will provide an overview of all the features in ScanXm, as well as providing a live demonstration.

This is a hybrid event so you can also join via Zoom:

https://zoom.us/j/99050467573?pwd=UE5OdFdTSFdZeUtIcU1DbXpmdlNGZz09

Meeting ID: 990 5046 7573 and Passcode: 617729

AI in Medicine Seminar Series: “ScanXm – A new software tool for the visualization, annotation, and segmentation of biomedical images”
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