PATENT CLAIM ANALYSIS

Application Number: 15893636
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["382", "131000"]

Abstract:
There is provided a method for segmentation of an image of a target patient, comprising: providing a target 2D slice and nearest neighbor 2D slice(s) of a 3D anatomical image, and computing, by a trained multi-slice fully convolutional neural network (multi-slice FCN), a segmentation region including a defined intra-body anatomical feature that extends spatially across the target 2D slice and the nearest neighbor 2D slice(s), wherein the target 2D slice and each of the nearest neighbor 2D slice(s) are processed by a corresponding contracting component of sequential contracting components of the multi-slice FCN according to the order of the target 2D slice and the nearest neighbor 2D slice(s) based on the sequence of 2D slices extracted from the 3D anatomical image, wherein outputs of the sequential contracting components are combined and processed by a single expanding component that outputs a segmentation mask for the target 2D slice.

Claim (Index 15):
The computer implemented method of  claim 1 , wherein the at least one nearest neighbor 2D slice includes an even number of nearest neighbor 2D slices, with a first half of the even number of nearest neighbor 2D slices located sequentially prior to the target 2D slice and a second half of the even number of nearest neighbor 2D slices located sequentially after the target 2D slice.

Metadata:
- Claim Count in Document: 53.0
- Percentile: 88.0
- Lexical Diversity: 2.44928
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15389860', '13811559', '14349096', '11349793', '15883112']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.316969343128807
- 35 USC 102 Novelty (BERT): 0.5130768962658715
- Combined Prediction Score: 0.3365800984425135
- Mean Citation Score: 216.39584800000003
- Max Citation Score: 222.36084
- Similarity Product: 133.8958705293131

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

Dataset: test