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Title:
画像処理装置及びプログラム
Document Type and Number:
Japanese Patent JP7325942
Kind Code:
B2
Abstract:
To improve the accuracy of determining a deeply learned model.SOLUTION: An image processing apparatus according to an embodiment includes a learning unit and a correction unit. The learning unit generates a first learned model composed of a neural network by using first data relating to a first region which is a region inside a lesion and second data relating to a second region which is a region influenced by the first region, as training data. The correction unit corrects weighting of an intermediate layer of the first learned model on the basis of information indicating correlation between the first data and the second data, to generate a second learned model for performing determination relating to input medical data.SELECTED DRAWING: Figure 1

Inventors:
Jin Yamagata
Application Number:
JP2018197742A
Publication Date:
August 15, 2023
Filing Date:
October 19, 2018
Export Citation:
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Assignee:
Canon Medical Systems Inc.
International Classes:
A61B5/055; A61B6/03; G01T1/161; G06T7/00; G16H30/00
Domestic Patent References:
JP2017076193A
JP2018117883A
JP2012235796A
JP2018113042A
JP2010029679A
JP2002506666A
JP2008194456A
JP2006043007A
JP2016143094A
JP2008157640A
Foreign References:
WO2018070285A1
WO2017183527A1
WO2016111014A1
Attorney, Agent or Firm:
Toranomon Intellectual Property Office



 
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