Method and System for Approximating Deep Neural Networks for Anatomical Object Detection
First Claim
Patent Images
1. A method for anatomical object detection in a medical image comprising:
- training a deep neural network to detect the anatomical object in medical images;
calculating an approximation of the trained deep neural network that reduces the computational complexity of the trained deep neural network; and
detecting the anatomical object in a received medical image of a patient using the approximation of the trained deep neural network.
5 Assignments
0 Petitions
Accused Products
Abstract
A method and system for approximating a deep neural network for anatomical object detection is discloses. A deep neural network is trained to detect an anatomical object in medical images. An approximation of the trained deep neural network is calculated that reduces the computational complexity of the trained deep neural network. The anatomical object is detected in an input medical image of a patient using the approximation of the trained deep neural network.
-
Citations
38 Claims
-
1. A method for anatomical object detection in a medical image comprising:
-
training a deep neural network to detect the anatomical object in medical images; calculating an approximation of the trained deep neural network that reduces the computational complexity of the trained deep neural network; and detecting the anatomical object in a received medical image of a patient using the approximation of the trained deep neural network. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18)
-
-
19. An apparatus for anatomical object detection in a medical image comprising:
-
means for training a deep neural network to detect the anatomical object in medical images; means for calculating an approximation of the trained deep neural network that reduces the computational complexity of the trained deep neural network; and means for detecting the anatomical object in a received medical image of a patient using the approximation of the trained deep neural network. - View Dependent Claims (20, 21, 22, 23, 24, 25, 26, 27)
-
-
28. A non-transitory computer readable medium storing computer program instructions for anatomical object detection in a medical image, the computer program instructions defining operations comprising:
-
training a deep neural network to detect the anatomical object in medical images; calculating an approximation of the trained deep neural network that reduces the computational complexity of the trained deep neural network; and detecting the anatomical object in a received medical image of a patient using the approximation of the trained deep neural network. - View Dependent Claims (29, 30, 31, 32, 33, 34, 35, 36, 37, 38)
-
Specification