Producing better guides for medical-image analysis

#artificialintelligence 

MIT researchers have devised a method that accelerates the process for creating and customizing templates used in medical-image analysis, to guide disease diagnosis. One use of medical image analysis is to crunch datasets of patients' medical images and capture structural relationships that may indicate the progression of diseases. In many cases, analysis requires use of a common image template, called an "atlas," that's an average representation of a given patient population. Atlases serve as a reference for comparison, for example to identify clinically significant changes in brain structures over time. Building a template is a time-consuming, laborious process, often taking days or weeks to generate, especially when using 3D brain scans.

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