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 15):
The control method of a training device of  claim 13 , wherein:\n the serialized first fundus image is stored in a first queue sequentially and the serialized fundus image stored in the first queue is used for training the first neural network model in units of a predetermined amount, and the serialized second fundus image is stored in a second queue which is different from the first queue in order and the serialized fundus image stored in the second queue is used for training the second neural network model in units of a predetermined amount.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 99.0
- Lexical Diversity: 2.97959
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15829518', '13744835', '15775326', '16126762', '15360742']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2971712058633309
- 35 USC 102 Novelty (BERT): 0.51067303839812
- Combined Prediction Score: 0.3185213891168098
- Mean Citation Score: 187.036444
- Max Citation Score: 193.02133
- Similarity Product: 112.4994063879782

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