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 5):
A non-transitory computer-readable storage device storing computer executable instructions that when executed by a computer control the computer to perform a method, the method comprising:\n acquiring an image of a region of tissue demonstrating cancerous pathology; distinguishing nodule tissue represented in the image from the background of the image by defining a nodule boundary using a spectral embedding gradient vector flow active contour (SEGvAC) approach; defining a perinodular zone based, at least in part, on the nodule tissue or the nodule boundary; extracting a set of features from the image, where the set of features comprises a first set of texture features extracted from the nodule tissue in the image or a set of shape features extracted from the nodule tissue in the image, and a second set of texture features extracted from the perinodular region; selecting a subset of features from the set of features based on, at least in part, a principal component analysis (PCA) variable importance on projections (VIP) ranking of the set of features; computing a probability that the nodule tissue is benign tissue, or that the nodule tissue will demonstrate a response to a treatment based, at least in part, on the subset of features; and classifying the nodule tissue based, at least in part, on the probability, and at least one of the image, the set of features, or the subset of features.

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): 0.3862851066106401
- 35 USC 102 Novelty (BERT): 0.581510437709334
- Combined Prediction Score: 0.4058076397205095
- Mean Citation Score: 379.555176
- Max Citation Score: 501.12933
- Similarity Product: 431.66393769025865

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