PATENT CLAIM ANALYSIS

Application Number: 15873070
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-07
Patent Classification: ["382", "141000"]

Abstract:
An information processing apparatus and method are disclosed, each of which: using a set of normal data, learns a first model for determining the normal data; sets, out of a plurality of abnormality candidate areas, the abnormality candidate areas selected by a user as correct data and the abnormality candidate areas not selected by the user as incorrect data, to learn a second model for identifying the correct data and the incorrect data, each abnormality candidate area indicating a candidate area of an abnormality and detected based on the first model from each of a plurality of captured images; obtains the captured images; detects the abnormality candidate areas from the respective captured images, using the first model; determines whether the abnormality candidate areas detected belong to the correct data or the incorrect data, using the second model; and controls to output a determination.

Claim (Index 10):
An information processing method comprising:\n using a set of normal data, learning a first model for determining the normal data; setting, out of a plurality of abnormality candidate areas, the abnormality candidate areas selected by a user as correct data and the abnormality candidate areas not selected by the user as incorrect data, to learn a second model for identifying the correct data and the incorrect data, each abnormality candidate area indicating a candidate area of an abnormality and detected based on the first model from each of a plurality of captured images, obtaining the captured images; detecting the abnormality candidate areas from the respective captured images, using the first model; determining whether the abnormality candidate areas detected belong to the correct data or the incorrect data, using the second model; and controlling to output a determination.

Metadata:
- Claim Count in Document: 15.0
- Percentile: 86.0
- Lexical Diversity: 2.54839
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15872257', '12971500', '14533394', '14064536', '14519538']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3145691478332954
- 35 USC 102 Novelty (BERT): 0.4719190402223966
- Combined Prediction Score: 0.3303041370722056
- Mean Citation Score: 155.18229200000005
- Max Citation Score: 179.2563
- Similarity Product: 136.9618884346962

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 1

Dataset: test