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 26):
A non-transitory computer readable medium storing computer program instructions for classifying endoscopic images, the computer program instructions when executed by a processor perform operations comprising:\n classifying an endoscopic image and determining a confidence score for the endoscopic image using an initial trained deep network classifier; comparing the confidence score for the endoscopic image to a learned confidence threshold; in response to a determination that the confidence score for the endoscopic image is higher than the learned confidence threshold, outputting the classification of the endoscopic image by the initial trained deep network classifier; and in response to a determination that the confidence score for the endoscopic image is not higher than the learned confidence threshold, classifying the endoscopic image with a first specialized network classifier built on a feature space of the initial trained deep 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): 0.3370193226198629
- 35 USC 102 Novelty (BERT): 0.5048647206223793
- Combined Prediction Score: 0.3538038624201146
- Mean Citation Score: 224.312228
- Max Citation Score: 234.55705
- Similarity Product: 143.8017107458651

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