PATENT CLAIM ANALYSIS

Application Number: 16030306
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-11
Patent Classification: ["382", "128000"]

Abstract:
A method to characterize shape variations in brain ventricles during embryonic growth in mammals, the method including extracting a brain ventricle skeleton from one or more images, calculating a volume profile for the skeleton using the extracted images, partitioning the brain ventricle based on the volume profile along the skeleton, the brain ventricle being partitioned into two lateral ventricles and a main ventricle, the main ventricle being further partitioned into three sub regions, determining volume vectors of the two lateral ventricles and the three sub regions, computing a means square error between the determined computed volume vectors and a pretrained mean volume vector of embryos during different gestational stages, and classifying the embryo to the gestational stage having the lowest mean square error. A method to characterize mutant detection in mammals, the method including acquiring one or more images, computing a volume profile directly along a path of the detected skeleton from the one or more images, aligning the volume profile against a standard profile, and evaluating the volume profile against the standard profile to detect a mutation.

Claim (Index 2):
The method as recited in  claim 1  wherein the one or more images is of brain ventricles.

Metadata:
- Claim Count in Document: 13.0
- Percentile: 95.0
- Lexical Diversity: 2.37037
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15413001', '15412939', '14443075', '10547441', '13383351']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.31727933727594
- 35 USC 102 Novelty (BERT): 0.5414846751875867
- Combined Prediction Score: 0.3396998710671047
- Mean Citation Score: 173.12790339999995
- Max Citation Score: 392.9716
- Similarity Product: 253.70207497754097

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

Dataset: test