PATENT CLAIM ANALYSIS

Application Number: 16197637
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-03
Patent Classification: ["382", "128000"]

Abstract:
Systems and techniques are disclosed for determination of lesions identified in medical images of differing perspectives. One of the methods includes obtaining images of a breast of a patient, each image being from a perspective, wherein the images include at least a first image and a second image. A skin contour line representing an obliquity of a chest wall of the patient is determined. A posterior nipple line extending from a nipple included in the first image is determined that perpendicularly intersects with the skin contour line. An interactive user interface is presented that includes the posterior nipple line on the first image. Compatibility information for lesions indicated in each of the first and second image is determined, the information indicating whether a first lesion in the first image is a same lesion in the breast as a second lesion in the second image.

Claim (Index 20):
The method of  claim 19 , wherein a perspective includes a mediolateral-oblique perspective of the body part or a cranio-caudal perspective of the body part, and wherein the graphical representation indicates a rotation of an imaging device about one or more anatomical planes for the mediolateral-oblique perspective of the body part.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 98.0
- Lexical Diversity: 2.21739
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15360858', '15114438', '12479468', '12545201', '13907702']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.353704855645024
- 35 USC 102 Novelty (BERT): 0.5234329601209153
- Combined Prediction Score: 0.3706776660926131
- Mean Citation Score: 197.728296
- Max Citation Score: 321.94223
- Similarity Product: 210.30474443916145

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