PATENT CLAIM ANALYSIS

Application Number: 15990131
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-01
Patent Classification: ["345", "424000"]

Abstract:
Methods and systems for volumetric segmentation of structures in planar medical images. One example method includes displaying a first planar medical image. The method further includes receiving a user input indicating a line segment in the first planar medical image. The method also includes determining an inclusion region using the line segment. The inclusion region consists of a portion of the structure. The method further includes determining a containment region using the line segment. The containment region includes the structure. The method also includes determining a background region using the line segment. The background region excludes the structure. The method further includes determining a three dimensional (3D) contour of the structure using the inclusion region, the containment region, and the background region. The method also includes determining a long axis of the structure using the 3D contour. The method further includes outputting a dimension of the long axis.

Claim (Index 14):
The system of  claim 13 , wherein the electronic processor is further configured to classify each of the voxels located within the containment region and outside the inclusion region as belonging to either the foreground class or the background class using Bayesian classification.

Metadata:
- Claim Count in Document: 48.0
- Percentile: 93.0
- Lexical Diversity: 3.09434
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['12045327', '11349793', '15225597', '11940380', '14474407']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6661396004849769
- 35 USC 102 Novelty (BERT): 0.4833152596297141
- Combined Prediction Score: 0.6478571663994507
- Mean Citation Score: 195.027488
- Max Citation Score: 196.92326
- Similarity Product: 144.83373168649314

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