PATENT CLAIM ANALYSIS

Application Number: 15756263
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["382", "133000"]

Abstract:
A method and system for classification of endoscopic images is disclosed. An initial trained deep network classifier is used to classify endoscopic images and determine confidence scores for the endoscopic images. The confidence score for each endoscopic image classified by the initial trained deep network classifier is compared to a learned confidence threshold. For endoscopic images with confidence scores higher than the learned threshold value, the classification result from the initial trained deep network classifier is output. Endoscopic images with confidence scores lower than the learned confidence threshold are classified using a first specialized network classifier built on a feature space of the initial trained deep network classifier.

Claim (Index 12):
The method of  claim 1 , wherein classifying an endoscopic image and determining a confidence score for the endoscopic image using an initial trained deep network classifier comprises classifying the endoscopic image as one of a plurality of classes comprising three or more classes, and classifying the endoscopic image with a first specialized network classifier built on a feature space of the initial trained deep network classifier comprises:\n identifying a cluster for the endoscopic image from a plurality of learned clusters, each cluster corresponding to a respective subset of the plurality of classes; selecting the first specialized network classifier based on the identified cluster from a plurality of specialized network classifiers, each trained for a respective one of the plurality of learned clusters; and classifying the endoscopic image as one of the subset of classes corresponding to the identified cluster with the first specialized network classifier.

Metadata:
- Claim Count in Document: 75.0
- Percentile: 88.0
- Lexical Diversity: 2.11111
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15422483', '15420274', '09966408', '16075540', '14732002']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3385997171773453
- 35 USC 102 Novelty (BERT): 0.497267526855812
- Combined Prediction Score: 0.354466498145192
- Mean Citation Score: 224.312228
- Max Citation Score: 234.55705
- Similarity Product: 160.50121112521592

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