PATENT CLAIM ANALYSIS

Application Number: 16416577
Application Type: Utility
Filing Date: 2019-05
Publication Date: 2019-09
Patent Classification: ["382", "128000"]

Abstract:
Systems and methods for determining a breast region in a medical image are provided. The methods may include obtaining a first image relating to the breast region, determining a first region including a first plurality of pixels in the breast region, determining a second region including a second plurality of pixels relating to an edge of the breast region, and determining the breast region by combining the first region and the second region. The second plurality of pixels may include at least a portion of the first plurality of pixels.

Claim (Index 1):
A method implemented on at least one device each of which has at least one processor and storage, the method comprising:\n obtaining a first image including a breast region, the breast region including a first region and a second region; determining the first region in the breast region, the first region including a first plurality of pixels; performing a pretreatment on the first image to obtain a pretreated first image, wherein the pretreated first image includes the first plurality of pixels corresponding to a first average gray value, and a third plurality of pixels in a third region relating to a background region corresponding to a third average gray value, and the first average gray value is greater than the third average gray value; determining, based on the pretreated first image, the second region relating to an edge of the breast region; and determining the breast region based on the first region and the second region.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 100.0
- Lexical Diversity: 2.74286
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15323056', '15721779', '15460187', '16199025', '15317382']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2859644096987302
- 35 USC 102 Novelty (BERT): 0.5674551703108094
- Combined Prediction Score: 0.3141134857599382
- Mean Citation Score: 253.960484
- Max Citation Score: 430.1403
- Similarity Product: 414.8204314091027

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