PATENT CLAIM ANALYSIS

Application Number: 15935077
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-08
Patent Classification: ["382", "156000"]

Abstract:
The present disclosure relates to systems, methods, devices, and non-transitory computer-readable storage medium for segmenting three-dimensional images. In one implementation, a computer-implemented method for segmenting a three-dimensional image is provided. The method may include receiving the three-dimensional image acquired by an imaging device, and creating a first stack of two-dimensional images from a first plane of the three-dimensional image and a second stack of two-dimensional images from a second plane of the three-dimensional image. The method may further include segmenting, by a processor, the first stack and the second stack of two-dimensional images using at least one neural network model. The method may also include determining, by the processor, a label map for the three-dimensional image by aggregating the segmentation results from the first stack and second stack.

Claim (Index 41):
The non-transitory computer-readable medium of  claim 40 , further comprising:\n creating a second stack of two-dimensional images from a second plane of the three-dimensional image; and segmenting the second stack of two-dimensional images using a second neural network model.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 90.0
- Lexical Diversity: 2.36667
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15248628', '15248490', '15385732', '15893636', '14474407']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3670197559254996
- 35 USC 102 Novelty (BERT): 0.5508305330271358
- Combined Prediction Score: 0.3854008336356632
- Mean Citation Score: 326.9049720000001
- Max Citation Score: 434.46945
- Similarity Product: 314.9616425040275

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

Dataset: test