PATENT CLAIM ANALYSIS

Application Number: 16043498
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-12
Patent Classification: ["382", "131000"]

Abstract:
Embodiments associated with classifying a region of tissue using features extracted from nodules and surrounding structures. One example apparatus includes a feature extraction circuit configured to automatically extract a first set of quantitative features from a nodule represented in at least one CT image, and automatically extract a second set of quantitative features from the lung parenchyma region immediately surrounding the nodule represented in the at least one CT image; a feature selection circuit configured to select an optimally predictive feature set from the first set of quantitative features and the second set of quantitative features; and a training circuit configured to train a classifier using the optimally predictive feature set to assign malignancy risk to a lung nodule represented in a CT image of a region of tissue demonstrating lung nodules. A prognosis or treatment plan may be provided based on the malignancy risk.

Claim (Index 4):
The CADx apparatus of  claim 1 , where the feature selection circuit is configured to select the optimally predictive feature set using a principal component analysis variable importance of the projections (PCA-VIP) feature ranking or PCA feature ranking.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 95.0
- Lexical Diversity: 2.22059
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15226148', '15937105', '15226124', '15883649', '14873611']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4117954683579686
- 35 USC 102 Novelty (BERT): 0.5314634201832134
- Combined Prediction Score: 0.4237622635404931
- Mean Citation Score: 331.67275200000006
- Max Citation Score: 363.04263
- Similarity Product: 239.1448753921401

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