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 7):
The apparatus according to  claim 5 , further comprising:\n an input device that accepts an input operation from a user; and a second landmark detector that detects, either within a region of interest or in the vicinity of the region of interest specified by a user using the input device, a position of the landmark in the plurality of images, wherein the learning module acquires the positions of the plurality of landmarks in the plurality of images of different respiratory phases from the second landmark detector.

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): 0.2636541983975354
- 35 USC 102 Novelty (BERT): 0.552604245375534
- Combined Prediction Score: 0.2925492030953353
- Mean Citation Score: 200.109848
- Max Citation Score: 397.61288
- Similarity Product: 376.3830855842018

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