PATENT CLAIM ANALYSIS

Application Number: 15988143
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-01
Patent Classification: ["382", "132000"]

Abstract:
An automated percentage of breast density measure (PDa) that analyzes signal dependent noise (SDN) based on a wavelet expansion using full field digital mammography (FFDM). A matched case-control dataset is used with images acquired from a specific direct x-ray capture FFDM system. PDa is applied to the raw and clinical display representation images. Transforming (pixel mapping) of the raw image to another representation (raw-transformed) is performed using differential evolution optimization and investigated the influence of lowering the native spatial resolution of the image by a one-half When controlling for body mass index, the quartile specific ORs for the associations of PDa with breast cancer varied with representation and resolution. PDa is a valid automated breast density measurement for a specific FFDM technology and compares well against PD (operator-assisted or the standard) when applied to either the raw-transformed or clinical display images from this FFDM technology.

Claim (Index 1):
A method of assessing breast density for breast cancer risk applications, comprising:\n receiving digital image data including a plurality of pixels; performing a statistical analysis on the digital image data; and associating the statistically analyzed digital image data with a measure of risk for breast cancer.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 93.0
- Lexical Diversity: 1.73404
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14893603', '13994969', '14893632', '10617675', '12787703']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.309524494415988
- 35 USC 102 Novelty (BERT): 0.4988408720738889
- Combined Prediction Score: 0.3284561321817781
- Mean Citation Score: 185.119014
- Max Citation Score: 277.66464
- Similarity Product: 229.9332018016433

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

Dataset: test