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 10):
The method of  claim 1 , further comprising:\n determining average intensities of the renal cortex image data over a time series of the image data; characterizing perfusion of the kidney based at least in part on the average intensities of the renal cortex image data, wherein the kidney is classified based at least in part on the perfusion characterization of the kidney.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 88.0
- Lexical Diversity: 2.19608
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14676111', '12613000', '13834231', '14084678', '13833333']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.314910541490717
- 35 USC 102 Novelty (BERT): 0.5762711943111243
- Combined Prediction Score: 0.3410466067727577
- Mean Citation Score: 245.99541800000003
- Max Citation Score: 477.9088
- Similarity Product: 419.536026794052

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