The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 08, 2022

Filed:

Aug. 24, 2020
Applicant:

Fujifilm Corporation, Tokyo, JP;

Inventor:

Deepak Keshwani, Tokyo, JP;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2022.01); G06T 7/00 (2017.01); G06T 11/00 (2006.01); G06V 10/25 (2022.01);
U.S. Cl.
CPC ...
G06K 9/6256 (2013.01); G06K 9/6261 (2013.01); G06T 7/0012 (2013.01); G06T 11/003 (2013.01); G06V 10/25 (2022.01); G06T 2207/10072 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30004 (2013.01);
Abstract

There are provided machine learning device and method which can prepare divided data suitable for machine learning from volume data for learning. A machine learning unit () calculates detection accuracy of each organ O(j,i) in a predicted mask Pj using a loss function Loss. However, the detection accuracy of the organ O(k,i) with a volume ratio A(k,i)<Th is not calculated. That is, in the predicted mask Pk, the detection accuracy of the organ O(k,i) with a volume ratio that is small to some extent is ignored. The machine learning unit () changes each connection load of a neural network () from an output layer side to an input layer side according to the loss function Loss.


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