BRAIN TISSUE CLASSIFICATION

Patent №

US 10,331,981

Granted

2019-06-25

Filed 2017

Owner

KONINKLIJKE PHILIPS N.V.

Lab

AI components

3

ml · vision · kr

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15564263

A system and method are provided for brain tissue classification, which involves applying an automated tissue classification technique to an image of a brain based on a prior probability map, thereby obtaining a tissue classification map of the brain. A user is enabled to, using a user interaction subsystem, provide user feedback which is indicative of a) an area of misclassification in the tissue classification map and b) a correction of the misclassification. The prior probability map is then adjusted based on the user feedback to obtain an adjusted prior probability map, and the automated tissue classification technique is re-applied to the image based on the adjusted prior probability map. An advantage over a direct correction of the tissue classification map may be that the user does not need to indicate the area of misclassification or the correction of the misclassification with a highest degree of accuracy. Rather, it may suffice to provide an approximate indication thereof.

Machine learningVisionKnowledge representationG06T 7/0012A61B 5/0042G06F 18/2415A61B 2576/026G06T 2200/24G06T 2207/20076G06T 2207/20092G06T 2207/20128+1 more

AI classification

Vision1.00
Machine learning0.79
Knowledge representation0.76
AI hardware0.01
Natural language0.01
Evolutionary computation0.00
Planning0.00
Speech0.00

Ownership

KONINKLIJKE PHILIPS N.V.

assignment · 437790202

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