PATENT CLAIM ANALYSIS

Application Number: 16138405
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-01
Patent Classification: ["382", "131000"]

Abstract:
Disclosed are Computer Aided Diagnosis (CAD) apparatus and method to combine information on sequential image frames and to provide a superior classification result for the ROI in the image frame. The CAD apparatus may include a Region of Interest (ROI) detector configured to detect an ROI from image frames, a categorizer configured to create groups of image frames having successive ROI sections from among the image frames based on a result of the detection, a classifier configured to classify an ROI detected from each of the image frames belonging to the groups, and a result combiner configured to combine classification results for the image frames belonging to each group from the groups and to calculate a group result for the each group.

Claim (Index 12):
A Computer Aided Diagnosis (CAD) method comprising:\n detecting a Region of Interest (ROI) from a plurality of image frames; grouping image frames in which the ROI is detected, from among the plurality of image frames based on a result of the detection; extracting a value from at least one of a contour of the ROI comprised in the image frames, an area adjacent to the contour, or pixels inside the contour; classifying the ROI comprised in each of the image frames belonging to a group by comparing the extracted value with a pre-stored criteria; determining a group result for the group based on a plurality of classification results for the image frames belonging to the group; and displaying the group result on a display.

Metadata:
- Claim Count in Document: 42.0
- Percentile: 97.0
- Lexical Diversity: 2.22034
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['14950543', '15451086', '15200719', '14825681', '15235050']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3506428470012574
- 35 USC 102 Novelty (BERT): 0.6041666689655346
- Combined Prediction Score: 0.3759952291976851
- Mean Citation Score: 298.97969
- Max Citation Score: 541.9466
- Similarity Product: 483.794543567562

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