Redundant Spatial Ensemble For Computer-Aided Detection and Image Understanding
First Claim
1. A method of computer-aided detection, comprising:
- (i) receiving an input set of training images of a target structure;
(ii) spatially realigning the input set of training images to different landmarks to generate multiple bags of training images, wherein at least one of the multiple bags comprises substantially all the training images in the input set realigned to at least one of the different landmarks;
(iii) training a spatial ensemble of detectors using the multiple bags of training images; and
(iv) generating an output result by using the trained spatial ensemble of detectors to automatically detect the target structure in an input image.
2 Assignments
0 Petitions
Accused Products
Abstract
Described herein is a technology for facilitating computer-aided detection and image understanding. In one implementation, an input set of training images of a target structure, such as an anatomical structure, is received. The input set of training images is spatially realigned to different landmarks to generate multiple bags of training images. At least one of the multiple bags comprises substantially all the training images in the input set, but realigned to a landmark. The multiple bags of training images may be used to train a spatial ensemble of detectors, which can be employed to generate an output result by automatically detecting a target structure in an input image.
-
Citations
20 Claims
-
1. A method of computer-aided detection, comprising:
-
(i) receiving an input set of training images of a target structure; (ii) spatially realigning the input set of training images to different landmarks to generate multiple bags of training images, wherein at least one of the multiple bags comprises substantially all the training images in the input set realigned to at least one of the different landmarks; (iii) training a spatial ensemble of detectors using the multiple bags of training images; and (iv) generating an output result by using the trained spatial ensemble of detectors to automatically detect the target structure in an input image. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17)
-
-
18. A method of self-assessment by a computer-aided detection system, comprising:
-
generating a measure of reliability based on an output result of the system, wherein the measure of reliability indicates any potential failure or error of at least one component of the system; and presenting, via a display device, the measure of reliability.
-
-
19. A non-transitory computer readable medium embodying a program of instructions executable by machine to perform steps for computer-aided detection, the steps comprising:
-
(i) receiving an input set of training images of a target structure; (ii) spatially realigning the input set of training images to different landmarks to generate multiple bags of training images, wherein at least one of the multiple bags comprises substantially all the training images in the input set realigned to at least one of the different landmarks; (iii) training a spatial ensemble of detectors using the multiple bags of training images; and (iv) generating an output result by using the trained spatial ensemble of detectors to automatically detect the target structure in an input image.
-
-
20. A computer-aided detection system, comprising:
-
a non-transitory memory device for storing computer readable program code; and a processor in communication with the memory device, the processor being operative with the computer readable program code to; (i) receive an input set of training images of a target structure; (ii) spatially realign the input set of training images to different landmarks to generate multiple bags of training images, wherein at least one of the multiple bags comprises substantially all the training images in the input set realigned to at least one of the different landmarks; (iii) train a spatial ensemble of detectors using the multiple bags of training images; and (iv) generate an output result by using the trained spatial ensemble of detectors to automatically detect the target structure in an input image.
-
Specification