Analysis of medical images is a very useful tool in modern medicine. With advent of Artificial Intelligence and Evidence Based Medicine, automatic analysis of medical images promises significant advantages in reducing diagnostic errors and increasing speed of diagnosis.
The 'Inner eye Project' by Microsoft Research is an extraordinary project which aims to extract semantic information from images. This demo shows how automatic anatomic recognition algorithms can be used in Radiology to decrease the information overload for physicians and specialists.
Furthur, it can be used for image analysis and comparison with large medical images database.
Microsoft Research is now working on extending the algorithms to allow it to pinpoint exact diseases and pathologies within the organs.This technology has potential for use in automatic diagnosis, personalized medicine and computer-assisted surgical intervention, to name a few.
Now lets just wait for something similar in Histopathology.
The 'Inner eye Project' by Microsoft Research is an extraordinary project which aims to extract semantic information from images. This demo shows how automatic anatomic recognition algorithms can be used in Radiology to decrease the information overload for physicians and specialists.
Microsoft Research is now working on extending the algorithms to allow it to pinpoint exact diseases and pathologies within the organs.This technology has potential for use in automatic diagnosis, personalized medicine and computer-assisted surgical intervention, to name a few.
Now lets just wait for something similar in Histopathology.
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