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 13):
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 an image of a region of tissue demonstrating cancerous pathology; segmenting a nodule represented in the image by extracting a nodule boundary from 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; defining a perinodular region in the image; generating a set of perinodular texture features based on the perinodular region; computing a probability that the nodule is benign based, at least in part, on the set of perinodular texture features; and controlling a computer aided diagnosis (CADx) system to generate a classification of the nodule based, at least in part, on the set of perinodular texture features, or the probability that the nodule is benign.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 90.0
- Lexical Diversity: 2.15942
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15226124', '15226148', '14873611', '15883649', '15893086']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4166301134327425
- 35 USC 102 Novelty (BERT): 0.5794543676964948
- Combined Prediction Score: 0.4329125388591177
- Mean Citation Score: 379.555176
- Max Citation Score: 501.12933
- Similarity Product: 409.6566771072507

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