PATENT CLAIM ANALYSIS

Application Number: 15865581
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-08
Patent Classification: ["382", "128000"]

Abstract:
Systems and methods are provided for performing medical imaging analysis. Input medical imaging data is received for performing a particular one of a plurality of medical imaging analyses. An output that provides a result of the particular medical imaging analysis on the input medical imaging data is generated using a neural network trained to perform the plurality of medical imaging analyses. The neural network is trained by learning one or more weights associated with the particular medical imaging analysis using one or more weights associated with a different one of the plurality of medical imaging analyses. The generated output is outputted for performing the particular medical imaging analysis.

Claim (Index 16):
The non-transitory computer readable medium of  claim 15 , the operations further comprising:\n training the neural network by learning a set of weights for each node of the neural network, the weights in the set of weights for each node having a hierarchical relationship such that a weight at a top level of the hierarchical relationship is associated with each of the plurality of medical imaging analyses and weights at a bottom level of the hierarchical relationship are each associated with a respective one of the plurality of medical imaging analyses.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 86.0
- Lexical Diversity: 2.45652
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15382414', '15618384', '15689411', '15689046', '15397638']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3300707455698833
- 35 USC 102 Novelty (BERT): 0.4865703084232788
- Combined Prediction Score: 0.3457207018552228
- Mean Citation Score: 219.622492
- Max Citation Score: 229.97845
- Similarity Product: 177.76844860982598

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test