US 12,229,949 B2
Systems for automated lesion detection and related methods
Engin Dikici, Dublin, OH (US); Luciano Prevedello, Dublin, OH (US); and Matthew Bigelow, Hilliard, OH (US)
Assigned to Ohio State Innovation Foundation, Columbus, OH (US)
Filed by Ohio State Innovation Foundation, Columbus, OH (US)
Filed on Aug. 13, 2021, as Appl. No. 17/401,536.
Claims priority of provisional application 63/065,015, filed on Aug. 13, 2020.
Prior Publication US 2022/0051402 A1, Feb. 17, 2022
Int. Cl. G06T 7/00 (2017.01); G06F 18/21 (2023.01); G06F 18/214 (2023.01); G06F 18/243 (2023.01); G06N 3/04 (2023.01); G06N 3/045 (2023.01); G06N 3/088 (2023.01); G06T 11/60 (2006.01); G06V 10/20 (2022.01)
CPC G06T 7/0012 (2013.01) [G06F 18/214 (2023.01); G06F 18/217 (2023.01); G06F 18/243 (2023.01); G06N 3/04 (2013.01); G06N 3/045 (2023.01); G06N 3/088 (2013.01); G06T 11/60 (2013.01); G06V 10/255 (2022.01); G06T 2207/10081 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/10104 (2013.01); G06T 2207/10132 (2013.01); G06T 2207/30096 (2013.01)] 12 Claims
OG exemplary drawing
 
1. A system for lesion detection, comprising:
at least one processor;
a memory operably coupled to the at least one processor, the memory having computer-executable instructions stored thereon;
a candidate selection module stored in the memory that, when executed by the at least one processor, is configured to:
receive an image,
determine a plurality of candidate points in the image using a Laplacian of Gaussian (LoG) approach with sensitivity constraint, wherein the sensitivity constraint is selected such that a desired percentage of actual lesions having a volume less than 500 mm3 are detected as candidate points, and
select a respective volumetric region centered by each of the candidate points, wherein one or more of the respective volumetric regions contain lesions having a volume of less than 500 mm3; and
a deep learning network configured to:
receive the respective volumetric regions selected by the candidate selection module, and
determine a respective probability of each respective volumetric region to contain a lesion.