PATENT CLAIM ANALYSIS

Application Number: 16115242
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-12
Patent Classification: ["382", "131000"]

Abstract:
Provided are a method and system for identifying and classifying the owner, age and health of an optic nerve head and its vasculature based on analysis of vector relationships of blood vessels and the neuroretinal rim within an image of the optic nerve head to each other.

Claim (Index 15):
A computing system configured for classifying the optic nerve head, the computing system comprising:\n a memory; and one or more processors configured to: segment an image of an optic nerve head from a photographic image of an eye; segment the image of the optic nerve head into multiple segments each containing blood vessels and neuroretinal rim fibres; extract features from the segmented images, the features describing relationships between the blood vessels themselves and between the blood vessels and the neuroretinal rim fibres in each of the segmented images; identify characteristics of the optic nerve head based on the extracted features; and classify the image of the optic nerve head based on the identified characteristics.

Metadata:
- Claim Count in Document: 24.0
- Percentile: 96.0
- Lexical Diversity: 1.36111
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['13210129', '10593175', '11656075', '13510290', '14828262']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3550227232098336
- 35 USC 102 Novelty (BERT): 0.5234839418277859
- Combined Prediction Score: 0.3718688450716289
- Mean Citation Score: 277.61102200000005
- Max Citation Score: 338.30215
- Similarity Product: 231.42650260576008

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

Dataset: test