PATENT CLAIM ANALYSIS

Application Number: 16252664
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-05
Patent Classification: ["382", "128000"]

Abstract:
A method includes determining, with a computer implemented classifier, a health state of tissue interest of a subject in at least one pair of images of the subject based on a predetermined set of longitudinal features of the tissue of interest of the subject in the at least one pair of images of the subject. The at least one pair of images of the subject includes a first image of the tissue of interest acquired at a first moment in time and a second image of the tissue of interest acquired at a second moment in time. The first and second moments in time are different moments in time. The method further includes visually displaying indicia indicative of the determined health state.

Claim (Index 15):
The system of  claim 14 , the processor that executes the instructions, which further causes the processor to:\n register the at least one pair of images of the subject; identify at least one volume of interest in the registered at least one pair of images, wherein the tissue of interest is located in the at least one volume of interest; extract a predetermined set of longitudinal features from the identified at least one volume of interest; and determine the health state of tissue interest by classifying the extracted set of longitudinal features.

Metadata:
- Claim Count in Document: 49.0
- Percentile: 99.0
- Lexical Diversity: 2.7234
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15516512', '12441950', '11542477', '14443786', '14077400']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3473518502482068
- 35 USC 102 Novelty (BERT): 0.5376885291095652
- Combined Prediction Score: 0.3663855181343426
- Mean Citation Score: 224.84221
- Max Citation Score: 378.21405
- Similarity Product: 290.9846122744113

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

Dataset: test