PATENT CLAIM ANALYSIS

Application Number: 15894247
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["382", "133000"]

Abstract:
Systems, methods and devices for determination of disease class scores for patient tissue are disclosed. The disease class scores may be based on the probability or probability-like metric for a disease condition or outcome. The system includes an imaging apparatus and a computing system with instructions executable by a processor. The computer system may locate one or more points-of-interest on the pre-processed images of the patient tissue using a point-of-interest detector and generate one or more disease spatial maps including one or more probability or probability-like metric of disease classifications on the detected points-of-interest. The information in the disease spatial maps is aggregated to produce disease class scores.

Claim (Index 1):
A system comprising:\n a. an imaging apparatus comprising:\n i. a magnifying component for magnifying one or more sections of a patient tissue; and \n ii. an image capturing component for capturing one or more images of the patient tissue; \n b. a computing system comprising at least one processor, a memory, a display, a user interface and instructions executable by the at least one processor to determine one or more disease class scores for a disease state for the patient tissue comprising:\n i. an image input module receiving one or more images of the patient tissue; \n ii. a user input module to receive user input; \n iii. a pre-processing module applying one or more mathematical functions on the images of the patient tissue to obtain one or more processed images; \n iv. a points-of-interest detection module locating one or more points-of-interest on the processed images using a point-of-interest detector; \n v. a classification mapping module generating one or more disease spatial maps composed of one or more probability metric of disease classifications,\n wherein one or more disease classifiers are applied to the one or more points-of-interest located in step (iv), and \n the disease classifier determines the probability metric for one out of two or more disease classes for each point-of-interest, and \n \n vi. a classification aggregator module determining the disease class scores for each disease classification for each image by combining probability metric computed in step (v) across the one or more points-of-interest located in each image in step (iv) using an aggregation formula.

Metadata:
- Claim Count in Document: 31.0
- Percentile: 88.0
- Lexical Diversity: 1.83871
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['12317530', '15028314', '15195526', '15422483', '15420274']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2819998119055684
- 35 USC 102 Novelty (BERT): 0.4917457871315894
- Combined Prediction Score: 0.3029744094281705
- Mean Citation Score: 211.84780800000004
- Max Citation Score: 218.2036
- Similarity Product: 165.18443651571275

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

Dataset: test