US 12,254,628 B2
Systems and methods for review of computer-aided detection of pathology in images
Harris Bergman, Marietta, GA (US); Mark Blomquist, Tucson, AZ (US); and Michael Wimmer, Prescott, AZ (US)
Assigned to BENEVIS INFORMATICS, LLC, Marietta, GA (US)
Filed by BENEVIS INFORMATICS, LLC, Marietta, GA (US)
Filed on Apr. 22, 2024, as Appl. No. 18/641,941.
Application 18/641,941 is a continuation of application No. 18/510,197, filed on Nov. 15, 2023.
Application 18/510,197 is a continuation of application No. 17/055,411, granted, now 11,823,376, issued on Nov. 21, 2023, previously published as PCT/US2019/032096, filed on May 15, 2019.
Claims priority of provisional application 62/672,266, filed on May 16, 2018.
Prior Publication US 2024/0303814 A1, Sep. 12, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. G06T 7/00 (2017.01); A61B 6/00 (2006.01); A61B 6/51 (2024.01); A61B 8/00 (2006.01); A61B 5/055 (2006.01); A61B 6/03 (2006.01)
CPC G06T 7/0012 (2013.01) [A61B 6/51 (2024.01); A61B 6/5217 (2013.01); A61B 8/5223 (2013.01); A61B 5/055 (2013.01); A61B 6/032 (2013.01); A61B 6/037 (2013.01); G06T 2207/10116 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30036 (2013.01)] 30 Claims
OG exemplary drawing
 
1. A system for performing computer-aided detection (CAD) using an image of one or more teeth, comprising:
a computer comprising one or more processors and a memory, wherein the one or more processors of the computer execute computer-executable instructions stored in the memory of the computer causing the computer to:
receive the image of the one or more teeth;
segment each of the one or more teeth that comprise the image to determine boundaries between each of the one or more teeth, wherein each tooth of the one or more teeth comprises a separate segmented image;
number each tooth in the separate segmented images using a tooth-type classifier model, wherein the teeth are numbered according to a standardized numbering system,
wherein numbering each tooth in the separate segmented images comprises:
performing a fuzzy-logic process for the numbering each tooth in the separate segmented images comprising:
identifying a likelihood that each of the separate segmented images contains any of several types of teeth including primary molars, secondary molars, primary canines, secondary canines, secondary premolars, primary incisors, secondary incisors, gaps between teeth, exfoliating teeth, and cropped teeth, wherein the probabilities of tooth types for the teeth are arranged in a tooth probability list of length number of teeth multiplied by a number of tooth types,
and wherein the tooth probability list is element-wise multiplied against each row of a matrix to produce a sequence score and tooth numbering is determined by the row with the highest score.