CPC G06T 7/0012 (2013.01) [G06T 7/13 (2017.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G06T 2207/10116 (2013.01); G06T 2207/20021 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30048 (2013.01); G06T 2207/30061 (2013.01); G06T 2207/30101 (2013.01)] | 30 Claims |
1. A method for detecting an abnormality, the method comprising:
obtaining, using a computer, a chest X-ray image;
detecting, in the obtained chest X-ray image using the computer and a model constructed through machine learning before the detecting, boundary lines of images of anatomical structures whose ranges of X-ray transmittances are different from one another;
setting, using the computer, a third lung area in the chest X-ray image including at least one of a first lung area where one or more lungs and a heart overlap or a second lung area where one of the lungs and a liver overlap on a basis of the detected boundary lines;
extracting, using the computer, a vascular index indicating at least one of thickness or density of at least one pulmonary blood vessel present in an area included in the third lung area;
determining, using the computer, whether the area included in the third lung area is in an abnormal state on a basis of the vascular index and a reference index based on indices extracted, using a method used to extract the vascular index, in advance from an area in chest X-ray images in a normal state corresponding to the area included in the third lung area; and
outputting, if it is determined that the area included in the third lung area is in an abnormal state, information indicating a result of the determining using the computer.
|