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 15):
The non-transitory computer-readable storage device of  claim 13 , the SEGvAC approach comprising:\n generating an initial lung mask by separating a lung region represented in the image from surrounding lung anatomy; generating a refined image by removing a non-granuloma structure from the initial lung mask using a rule-based classifier, where the rule-based classifier selects the non-granuloma structure to remove from the initial lung mask based on a convexity measure of the non-granuloma structure, or an elongation measure of the non-granuloma structure; generating a spectral embedding (SE) representation by projecting at least one refined image into a three dimensional (3D) SE space; and extracting a nodule boundary from the SE representation using a gradient vector flow field (GVF) active contour model, where a GVF force drives the active contour.

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): 0.3888524155589152
- 35 USC 102 Novelty (BERT): 0.5752666576849133
- Combined Prediction Score: 0.4074938397715151
- Mean Citation Score: 379.555176
- Max Citation Score: 501.12933
- Similarity Product: 399.71005854912215

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