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 23):
The system of  claim 22 , wherein determining the pixel size comprises the processor of the smartphone executing computer-readable instructions stored in the memory to:\n detect the object in the digital image using one or more image analysis algorithms; measure a number of pixels that span a given detected edge of the object having the known size; and determine the pixel size by dividing the known size of the given detected edge by the number of pixels that span the given detected edge of the object.

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): 0.3775735240615443
- 35 USC 102 Novelty (BERT): 0.5709424368283262
- Combined Prediction Score: 0.3969104153382225
- Mean Citation Score: 279.82761
- Max Citation Score: 520.3692
- Similarity Product: 338.74035551855565

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