PATENT CLAIM ANALYSIS

Application Number: 16008809
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["382", "133000"]

Abstract:
A system includes a microscope configured to magnify a pathology sample, a camera positioned to record magnified pathology images from the microscope, a pathology database including reference pathology images, and a display configured to show the magnified pathology images. A processing apparatus is coupled to the camera, the pathology database, and the display. The processing apparatus includes instructions that when executed by the processing apparatus cause the system to perform operations. The operations include comparing the magnified pathology images to the reference pathology images included in the pathology database; identifying one or more regions of interest in the magnified pathology images; and alerting, using the display, a user of the microscope to the one or more regions of interest in the magnified pathology images while the pathology sample is being magnified with the microscope.

Claim (Index 5):
The system of  claim 1 , wherein the instructions include a machine learning algorithm, and the machine learning is used to identify the one or more regions of interest in real time, and wherein the machine learning algorithm is trained to identify the one or more regions of interest using the reference pathology images in the pathology database.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 94.0
- Lexical Diversity: 2.625
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15225247', '16001855', '16001836', '12554276', '15621837']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3127820642058881
- 35 USC 102 Novelty (BERT): 0.5005079692700184
- Combined Prediction Score: 0.3315546547123011
- Mean Citation Score: 176.01471400000003
- Max Citation Score: 260.2033
- Similarity Product: 205.05852919652463

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

Dataset: test