PATENT CLAIM ANALYSIS

Application Number: 15914091
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-07
Patent Classification: ["382", "131000"]

Abstract:
A medical image processing apparatus of an embodiment has acquisitor, a first landmark detector, and an estimator. The acquisitor acquires a perspective image of an object to be treated imaged by an imaging apparatus. The first landmark detector detects a position of a landmark that appears in the perspective image acquired by the acquisitor. The estimator, based on relationship information indicating a relationship between the position of landmark and the position of a target, estimates the position of the search-for location of the object to be treated from the position of the landmark detected by the first landmark detector.

Claim (Index 10):
A method comprising:\n acquiring a image of an object to be treated imaged by an imaging apparatus, detecting a position of a landmark in the acquired image, estimating, based on relationship information indicating a relationship between the position of the landmark and the position of a target, the position of the target of the object to be treated from the detected position of the landmark, and controlling an irradiation port to irradiate with the treatment beam, if the position of the target of the object to be treated estimated by the estimator is within a set range.

Metadata:
- Claim Count in Document: 20.0
- Percentile: 90.0
- Lexical Diversity: 2.2766
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['14847791', '15818057', '10880486', '11890881', '13886853']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2654902611318888
- 35 USC 102 Novelty (BERT): 0.5497457479366634
- Combined Prediction Score: 0.2939158098123663
- Mean Citation Score: 200.109848
- Max Citation Score: 397.61288
- Similarity Product: 318.8588622404194

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