PATENT CLAIM ANALYSIS

Application Number: 16029169
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-11
Patent Classification: ["382", "131000"]

Abstract:
A user had to manually select a cross-sectional image indicating features of a finding and a cross-sectional image displayed in a report, from a three-dimensional medical image. Provided is an image processing apparatus that includes: a unit configured to acquire a target finding of a medical image; a unit configured to calculate an image feature quantity of a type associated in advance with the target finding, for each of a plurality of cross-sectional images of the medical image; and a unit configured to identify a cross-sectional image from the plurality of cross-sectional images based on the calculated image feature quantity. Operation of selecting a cross-sectional image by a doctor can be omitted, and the burden can be reduced.

Claim (Index 26):
An operating method of an image processing apparatus comprising:\n inferring a diagnosis using findings related to a three-dimensional medical image; selecting a finding which has contributed to the inference of the diagnosis among the findings used for the inference; and identifying at least one cross-sectional image indicating a feature of the selected finding from the three-dimensional medical image.

Metadata:
- Claim Count in Document: 32.0
- Percentile: 95.0
- Lexical Diversity: 2.11667
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['13556310', '13434242', '12973780', '15097422', '13216348']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3244449770646162
- 35 USC 102 Novelty (BERT): 0.5381027903001893
- Combined Prediction Score: 0.3458107583881735
- Mean Citation Score: 232.611316
- Max Citation Score: 384.52423
- Similarity Product: 327.6844787302047

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

Dataset: test