PATENT CLAIM ANALYSIS

Application Number: 16126762
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-01
Patent Classification: ["382", "128000"]

Abstract:
Methods and apparatus to automatically generate an image quality metric for an image are provided. An example method includes automatically processing a first medical image using a deployed learning network model to generate an image quality metric for the first medical image, the deployed learning network model generated from a digital learning and improvement factory including a training network, wherein the training network is tuned using a set of labeled reference medical images of a plurality of image types, and wherein a label associated with each of the labeled reference medical images indicates a central tendency metric associated with image quality of the image. The example method includes computing the image quality metric associated with the first medical image using the deployed learning network model by leveraging labels and associated central tendency metrics to determine the associated image quality metric for the first medical image.

Claim (Index 2):
The imaging system of  claim 1 , wherein the image quality metric includes an image quality index.

Metadata:
- Claim Count in Document: 6.0
- Percentile: 97.0
- Lexical Diversity: 2.51667
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15360742', '15360626', '15360410', '15606069', '15893891']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3688089725522184
- 35 USC 102 Novelty (BERT): 0.5935338080052283
- Combined Prediction Score: 0.3912814560975194
- Mean Citation Score: 331.738512
- Max Citation Score: 514.18604
- Similarity Product: 452.0612930696416

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