CPC G06T 7/0012 (2013.01) [G06N 20/00 (2019.01); G06T 7/90 (2017.01); G06V 10/761 (2022.01); G06T 2207/20081 (2013.01); G06T 2207/30048 (2013.01); G06T 2207/30104 (2013.01)] | 17 Claims |
1. A method for extracting a major vessel region from a blood vessel image performed by a processor, the method comprising:
extracting an entire vessel region from one blood vessel image, and extracting a major vessel region from the one blood vessel image based on a machine learning model which extracts a major vessel region; and
correcting the extracted major vessel region by matching the extracted entire vessel region with the extracted major vessel region,
wherein the correcting of the extracted major vessel region includes:
comparing a thicknesses of blood vessels corresponding to each other in the extracted entire vessel region and the extracted major vessel region, and enlarging vessel thickness of some portion of blood vessel in the extracted major vessel region based on the comparison result.
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