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 16):
The method of  claim 15 , wherein classifying each of the confusion subset of the plurality of endoscopic images using one or more specialized network classifiers further comprises:\n comparing a second confidence score for each of the endoscopic images in the confusion subset determined by the first specialized network classifier to a second learned confidence threshold to determine highly confident cases and confusion cases of the endoscopic images classified by the first specialized network classifier; outputting classification results from the first specialized network classifier for the highly confident cases of the endoscopic images classified by the first specialized network classifier; and classifying the confusion cases of the endoscopic images classified by the first specialized network classifier by one or more subsequent specialized network classifiers, wherein each subsequent specialized network classifier is built on a feature space of the previous specialized network classifier and each subsequent specialized network classifier classifies only confusion cases of endoscopic images classified by the previous specialized network classifier.

Metadata:
- Claim Count in Document: 75.0
- Percentile: 88.0
- Lexical Diversity: 2.11111
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15422483', '15420274', '09966408', '16075540', '14732002']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3635871010475647
- 35 USC 102 Novelty (BERT): 0.5094265234394824
- Combined Prediction Score: 0.3781710432867565
- Mean Citation Score: 224.312228
- Max Citation Score: 234.55705
- Similarity Product: 138.8233409509331

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