PATENT CLAIM ANALYSIS

Application Number: 15949657
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["382", "128000"]

Abstract:
Disclosed are systems and methods for automated monitoring of the size, area or boundary of chronic wound images. The disclosure includes use of a probability map that measures the likelihood of wound pixels belonging to granulation, slough or eschar, which can then be segmented using any standard segmentation techniques. Measurement of the wound size, area or boundary occurs automatically and without user input related to outlining, filling in, or making measurement lines over the image on a display.

Claim (Index 4):
The method of  claim 1 , wherein automatically determining from the digital image of the wound a boundary of the wound using the processor of the smartphone comprises classifying one or more pixels of the digital image as belonging to the wound or not being associated with the wound.

Metadata:
- Claim Count in Document: 30.0
- Percentile: 91.0
- Lexical Diversity: 1.40323
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15078313', '15239486', '14528397', '16093902', '15645677']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3722736639077441
- 35 USC 102 Novelty (BERT): 0.5844068061491001
- Combined Prediction Score: 0.3934869781318797
- Mean Citation Score: 279.82761
- Max Citation Score: 520.3692
- Similarity Product: 400.9946554028749

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