PATENT CLAIM ANALYSIS

Application Number: 16359902
Application Type: Utility
Filing Date: 2019-03
Publication Date: 2019-07
Patent Classification: ["382", "128000"]

Abstract:
The present invention relates to a diagnosis assistance system for assisting diagnosis for a plurality of diseases based on a fundus image, the diagnosis assistance system including: a fundus image obtaining unit configured to obtain a fundus image; a first processing unit configured to, for the fundus image, obtain a first result related to a first finding of a patient using a first neural network model, a second processing unit configured to, for the fundus image, obtain a second result related to a second finding of the patient using a second neural network model, a third processing unit configured to determine, on the basis of the first result and the second result, diagnostic information on the patient, and a diagnostic information output unit configured to provide the determined diagnostic information to a user.

Claim (Index 12):
A control method of a training device, wherein the training device is included in a system comprising the training device configured to obtain a first training data set including a plurality of fundus image, processes the fundus image included in the first training data set and trains a first neural network model first training data set and a diagnosis device configured to obtain a target fundus image for obtaining a diagnosis assistance information and obtain the diagnosis assistance information on the basis of the target fundus image by using the trained first neural network model based on the target fundus image, comprising:\n pre-processing a first fundus image included in the first training data set so that the first fundus image is converted to a format facilitating the training of the first neural network; serializing the pre-processed first fundus image; and training the first neural network model to classify, using the serialized first fundus image, the target fundus image to a first label or a second label.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 99.0
- Lexical Diversity: 2.97959
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15829518', '13744835', '15775326', '16126762', '15360742']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2735316770121946
- 35 USC 102 Novelty (BERT): 0.5055103718372065
- Combined Prediction Score: 0.2967295464946958
- Mean Citation Score: 187.036444
- Max Citation Score: 193.02133
- Similarity Product: 116.4801137448287

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