PATENT CLAIM ANALYSIS

Application Number: 15903769
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-06
Patent Classification: ["382", "131000"]

Abstract:
A computer aided diagnostic system and automated method to classify a kidney. Image data for a medical scan that includes image data of a kidney may be received. The kidney image data may be segmented from other image data of the medical scan. One or more iso-contours may be registered for the kidney image data, and renal cortex image data may be segmented from the kidney image data based on the one or more registered iso-contours. The kidney may be classified by analyzing one or more features determined from the segmented renal cortex image data using a learned model associated with the one or more features.

Claim (Index 12):
The system of  claim 11 , wherein the kidney image data is segmented from the other image data of the abdomen scan based at least in part on a weighted probabilistic shape associated with the kidney and uses a two level joint Markov-Gibbs random field probabilistic model associated with the kidney.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 88.0
- Lexical Diversity: 2.19608
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14676111', '12613000', '13834231', '14084678', '13833333']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3416220372563835
- 35 USC 102 Novelty (BERT): 0.5772480666206502
- Combined Prediction Score: 0.3651846401928102
- Mean Citation Score: 245.99541800000003
- Max Citation Score: 477.9088
- Similarity Product: 412.0062044221878

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