PATENT CLAIM ANALYSIS

Application Number: 15937105
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-08
Patent Classification: ["382", "131000"]

Abstract:
Methods, apparatus, and other embodiments associated with classifying a region of tissue using textural analysis are described. One example apparatus includes an image acquisition logic that acquires an image of a region of tissue demonstrating cancerous pathology, a delineation logic that distinguishes nodule tissue within the image from the background of the image, a perinodular zone logic that defines a perinodular zone based on the nodule, a feature extraction logic that extracts a set of features from the image, a probability logic that computes a probability that the nodule is benign or that the nodule will respond to a treatment, and a classification logic that classifies the nodule tissue based, at least in part, on the set of features or the probability. A prognosis or treatment plan may be provided based on the classification of the image.

Claim (Index 1):
A non-transitory computer-readable storage device storing instructions that when executed by a processor control the processor to perform operations, the operations including:\n accessing a radiological image of a region of tissue demonstrating lung nodules; segmenting a nodule in the image from the background of the image by automatically distinguishing nodule tissue in the image from the background of the image using a spectral embedding gradient vector flow active contour (SEGvAC) approach, the SEGvAC approach comprising:\n generating an initial lung mask by separating a lung region represented in the image from surrounding lung anatomy; \n generating a refined image by removing a non-granuloma structure from the initial lung mask using a rule-based classifier; \n generating a spectral embedding (SE) representation by projecting at least one refined image into a three dimensional (3D) SE space; and \n extracting a nodule boundary from the SE representation; \n defining a perinodular region based, at least in part, on the nodule; selecting a first set of texture features from the perinodular region; selecting a second set of texture features or a set of shape features from the nodule; computing a probability that the nodule is benign based, at least in part, on the first set of texture features, the second set of texture features, or the set of shape features; and providing a prognosis prediction based on the probability.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 90.0
- Lexical Diversity: 2.15942
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15226124', '15226148', '14873611', '15883649', '15893086']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3837062040710001
- 35 USC 102 Novelty (BERT): 0.5877716050063417
- Combined Prediction Score: 0.4041127441645343
- Mean Citation Score: 379.555176
- Max Citation Score: 501.12933
- Similarity Product: 463.84145079388975

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