PATENT CLAIM ANALYSIS

Application Number: 16247798
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-05
Patent Classification: ["382", "128000"]

Abstract:
A method for image analysis comprises receiving one or more images of a plurality of lesions captured from a body of a person, extracting one or more features of the plurality of lesions from the one or more images, analyzing the extracted one or more features, wherein the analyzing comprises determining a distance between at least two lesions with respect to the extracted one or more features, and determining whether any of the plurality of lesions is an outlier based on the analyzing.

Claim (Index 2):
The method according to  claim 1 , wherein the one or more features comprise at least one visual feature, and the method further comprises generating a histogram based on the at least one visual feature.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 99.0
- Lexical Diversity: 2.0
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15336293', '13305495', '15336347', '14887678', '15200719']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3423000801958439
- 35 USC 102 Novelty (BERT): 0.5426472728716473
- Combined Prediction Score: 0.3623347994634243
- Mean Citation Score: 222.80781
- Max Citation Score: 386.7647
- Similarity Product: 368.4214958438039

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

Dataset: test