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 9):
The non-transitory computer-readable storage device of  claim 7 , where selecting the set of information optimized features from the set of representative features includes selecting the set of information optimized features using 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): 0.4111356899633383
- 35 USC 102 Novelty (BERT): 0.5308474246631123
- Combined Prediction Score: 0.4231068634333157
- Mean Citation Score: 331.67275200000006
- Max Citation Score: 363.04263
- Similarity Product: 271.7261524524915

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