US 12,262,864 B2
Target part identification among human-body internal images
Masahiro Saikou, Tokyo (JP)
Assigned to NEC CORPORATION, Tokyo (JP)
Filed by NEC Corporation, Tokyo (JP)
Filed on Mar. 13, 2024, as Appl. No. 18/603,326.
Application 18/603,326 is a continuation of application No. 17/258,296, granted, now 11,969,143, previously published as PCT/JP2018/025871, filed on Jul. 9, 2018.
Prior Publication US 2024/0260812 A1, Aug. 8, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. A61B 1/00 (2006.01); A61B 5/00 (2006.01); A61B 34/10 (2016.01); G06T 7/73 (2017.01)
CPC A61B 1/000094 (2022.02) [A61B 1/000096 (2022.02); A61B 5/4887 (2013.01); A61B 5/7221 (2013.01); A61B 34/10 (2016.02); G06T 7/73 (2017.01); A61B 2034/107 (2016.02); G06T 2207/10048 (2013.01); G06T 2207/10068 (2013.01); G06T 2207/30096 (2013.01)] 9 Claims
OG exemplary drawing
 
6. A surgery assistance method comprising:
calculating, from a human-body internal image captured using an endoscope, confidence information and heatmap information of a target part image corresponding to a target part, the confidence information indicating probability of the image in a window region being an image corresponding to the target part, the heatmap information being calculated using the feature extraction information indicating features of the target part image extracted from the human-body internal image;
calculating a similarity degree of the confidence information between different human-body internal images, including the human-body image;
calculating, based on determining that the similarity degree of the confidence information is greater than or equal to a predetermined confidence value, a similarity degree of the heatmap information between the different human-body internal images; and
identifying the target part image in each of the different human-body internal images if the similarity degree of the heatmap information is greater than or equal to a predetermined heatmap value.