PATENT CLAIM ANALYSIS

Application Number: 16513250
Application Type: Utility
Filing Date: 2019-07
Publication Date: 2019-11
Patent Classification: ["382", "131000"]

Abstract:
Automated detection of septal defects in cardiac computed tomography images is provided. In various embodiments, a blood pool is extracted from a CTA image of a heart. The blood pool is determined to be a left pool. A septal curve of the left pool is extracted. A plurality of features of the septal curve is determined. The heart is classified as having an atrial septal defect, ventricular septal defect, or no defect based on the plurality of features.

Claim (Index 4):
The method of  claim 2 , wherein thresholding comprises clustering image intensities into a predetermined number of classes.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 100.0
- Lexical Diversity: 1.8913
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15697365', '11622272', '10856493', '15299173', '14846127']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4089589796006024
- 35 USC 102 Novelty (BERT): 0.5306141237747625
- Combined Prediction Score: 0.4211244940180184
- Mean Citation Score: 182.802622
- Max Citation Score: 369.29468
- Similarity Product: 366.2409118339872

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

Dataset: test