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 3):
The method of  claim 2 , further comprising comparing by the processor of the smartphone at least one of the area of the wound or the area of the at least one of the one or more tissue groups that comprise the wound to previously measured area of the wound or previously measured area of the at least one of the one or more tissue groups that comprise the wound to determine if the wound or the tissue group is changing in area, which is used to monitor wound healing.

Metadata:
- Claim Count in Document: 30.0
- Percentile: 91.0
- Lexical Diversity: 1.40323
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15078313', '15239486', '14528397', '16093902', '15645677']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3547998831662316
- 35 USC 102 Novelty (BERT): 0.5562354588766532
- Combined Prediction Score: 0.3749434407372738
- Mean Citation Score: 279.82761
- Max Citation Score: 520.3692
- Similarity Product: 281.65754762628075

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

Dataset: test