PATENT CLAIM ANALYSIS

Application Number: 16134251
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-01
Patent Classification: ["382", "131000"]

Abstract:
An image processing apparatus includes an acquiring unit and an image processing unit. The acquiring unit acquires a radiographic image acquired by irradiating a radiation on an object and a scattered-ray component contained in the radiographic image, wherein the scattered-ray component originates from a scattered ray which is a radiation scattered in the object. The image processing unit performs an image process on the radiographic image in accordance with an instruction, wherein the image processing unit performs an image process based on a radiographic image acquired by the acquiring unit and a scattered-ray component acquired by the acquiring unit in a case where an instruction to perform the image process is received again.

Claim (Index 3):
The image processing apparatus according to  claim 2 , wherein, by executing the program, the one or more processors further function as an identifying unit configured to attach identification information for identifying data of a scattered-ray component output by the output unit to at least one of the radiographic image and a processed image acquired by performing an image process thereon by the scattered-ray reducing unit.

Metadata:
- Claim Count in Document: 38.0
- Percentile: 97.0
- Lexical Diversity: 2.62222
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15190541', '15908430', '15190514', '15857171', '15052486']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3634440974095375
- 35 USC 102 Novelty (BERT): 0.506060105053677
- Combined Prediction Score: 0.3777056981739515
- Mean Citation Score: 233.980688
- Max Citation Score: 313.43018
- Similarity Product: 311.5232256147492

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

Dataset: test