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NIFarious Ideas: Improving Medical Imaging with Search Technologies
A group at Microsoft Research Cambridge has developed a new search tool for the human body. The project, InnerEye, led by Antonio Criminisi, performs automated analysis of CT scans using machine learning algorithms such that normal and abnormal organs (and other anatomy) can be detected and segmented.
Once segmented, InnerEye then uses semantic technologies to improve the physician's interaction with the patients' scans. Additionally, InnerEye has implemented features that allow image queries to be performed, as explained by the project lead in the video here: TechFest 2011: InnerEye: Visual Recognition in the Hospital
Hopefully we will be seeing some of these ideas at the doctor's office soon!
NIFarious Ideas is a regular weekly column on the NIF Blog that appears every Friday. We seek to highlight the avant-garde, the dangerous, the progressive, the cutting edge in software tools, databasing, ontologies, searching, data collecting and distributing, and of course, neuroscience trends. Join us each Friday -- Be NIFarious!
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