PATENT CLAIM ANALYSIS

Application Number: 15750989
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["382", "128000"]

Abstract:
Mechanisms for simultaneously monitoring colonoscopic video quality and detecting polyps in colonoscopy are provided. In some embodiments, the mechanisms can include a quality monitoring system that uses a first trained classifier to monitor image frames from a colonoscopic video to determine which image frames are informative frames and which image frames are non-informative frames. The informative image frames can be passed to an automatic polyp detection system that uses a second trained classifier to localize and identify whether a polyp or any other suitable object is present in one or more of the informative image frames.

Claim (Index 11):
The system of  claim 10 , wherein the first trained classifier is a random forest classifier that is trained based on extracted features from training images and clustering the extracted features to form visual words based on a bag of visual words model.

Metadata:
- Claim Count in Document: 19.0
- Percentile: 88.0
- Lexical Diversity: 1.66667
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15562088', '15617111', '14853682', '15304927', '15305288']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4036934222147409
- 35 USC 102 Novelty (BERT): 0.5187845692750175
- Combined Prediction Score: 0.4152025369207686
- Mean Citation Score: 314.745988
- Max Citation Score: 326.98016
- Similarity Product: 255.94939512521745

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

Dataset: test