PATENT CLAIM ANALYSIS

Application Number: 15868062
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-08
Patent Classification: ["382", "131000"]

Abstract:
Methods and apparatus for automated medical image analysis using deep learning networks are disclosed. In a method of automatically performing a medical image analysis task on a medical image of a patient, a medical image of a patient is received. The medical image is input to a trained deep neural network. An output model that provides a result of a target medical image analysis task on the input medical image is automatically estimated using the trained deep neural network. The trained deep neural network is trained in one of a discriminative adversarial network or a deep image-to-image dual inverse network.

Claim (Index 20):
The non-transitory computer readable medium of  claim 19 , wherein the deep image-to-image dual inverse network includes the first deep image-to-image network trained to perform the target medical image analysis task and including an encoder that coverts an input medical image to a feature representation and a decoder that generates a predicted output image from the feature representation of the input medical image, and a second deep image-to-image network trained to perform an inverse task to the target medical image analysis task and including an encoder that coverts an output image for the target medical image analysis task to a feature representation and a decoder that generates a predicted input image from the feature representation of the output image.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 86.0
- Lexical Diversity: 2.12
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15382414', '15618384', '14709536', '14706108', '15055161']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3511775403887642
- 35 USC 102 Novelty (BERT): 0.5306159897749588
- Combined Prediction Score: 0.3691213853273837
- Mean Citation Score: 294.73993200000007
- Max Citation Score: 334.34225
- Similarity Product: 238.48048447452484

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test