PATENT CLAIM ANALYSIS

Application Number: 15763693
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-10
Patent Classification: ["345", "589000"]

Abstract:
A display grayscale curve correction system and method for a mammary gland molybdenum target image. The system comprises a key module, an ARM module, an upper computer, an FPGA module connected to both outputs of the ARM module and the upper computer, and a display panel connected to an output of the FPGA module, wherein the upper computer firstly captures a currently displayed mammary gland image, subsequently analyses an image feature, and then calculates an optimized grayscale correction curve; in addition, the ARM module writes the grayscale correction curve into the FPGA module by means of a serial communication protocol; and the FPGA module performs grayscale mapping on a pixel value of an input image twice, and performs enhanced display on the mammary gland molybdenum target image. In comparison with a common DICOM correction curve, by including a feature of a mammary gland molybdenum target x-ray image into the scope of consideration of optimization, a part where a focus possibly exists can be better highlighted, and the operation is simple and does not occupy resources of an upper computer, and smooth running is guaranteed.

Claim (Index 8):
The display grayscale curve correction method as claimed in  claim 6 , wherein in step S2, according to the characteristics of the breast, different optimization schemes are adopted for the curve: for fat type mammary gland, the curve is designed to weaken the display effect of the high-grayscale part and enhance the texture features of the low-grayscale part; for the dense mammary gland of gland type, the curve is designed to weaken the display effect of the low grayscale part and enhance the gland organization of high grayscale parts.

Metadata:
- Claim Count in Document: 9.0
- Percentile: 90.0
- Lexical Diversity: 2.19565
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['12751363', '13196518', '12507450', '12051657', '14892134']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6813623888734249
- 35 USC 102 Novelty (BERT): 0.4843654650820322
- Combined Prediction Score: 0.6616626964942858
- Mean Citation Score: 181.548874
- Max Citation Score: 215.6592
- Similarity Product: 165.35157086219792

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

Dataset: test