首页> 外国专利> IMAGE LEARNING DEVICE, IMAGE LEARNING METHOD, NEURAL NETWORK, AND IMAGE CLASSIFICATION DEVICE

IMAGE LEARNING DEVICE, IMAGE LEARNING METHOD, NEURAL NETWORK, AND IMAGE CLASSIFICATION DEVICE

机译:图像学习设备,图像学习方法,神经网络和图像分类设备

摘要

An object of the invention is to provide an image learning device, an image learning method, a neural network, and an image classification device which can support appropriate classification of an image.;In the image learning device according to an aspect of the invention, the neural network performs a first task of classifying a recognition target in a medical image and outputting a classification score as an evaluation result, and a second task different from the first task. The neural network updates a weight coefficient on the basis of a comparison result between the classification score output for the medical image of a first image group and a ground truth classification label, and does not reflect the classification score output for the medical image of a second image group in an update of the weight coefficient, for the first task. The neural network updates the weight coefficient on the basis of the evaluation result output for the medical image of the first image group and the evaluation result output for the medical image of the second image group, for the second task.
机译:本发明的目的是提供一种图像学习设备,图像学习方法,神经网络和图像分类设备,其可以支持图像的适当分类。;在根据本发明的一个方面的图像学习设备中,神经网络执行在医学图像中对识别目标进行分类并将分类评分作为评估结果输出的第一任务,以及与第一任务不同的第二任务。神经网络在第一图像组的医学图像的分类评分输出与地面真相分类标签之间的分类评分输出之间更新权重系数,并且不反映第二秒的医学图像的分类分数输出图像组在权重系数的更新中,为第一个任务。神经网络基于第一图像组的医学图像的评估结果输出和第二图像组的医学图像的评估结果输出的评估结果输出来更新权重系数。

著录项

  • 公开/公告号US2021158100A1

    专利类型

  • 公开/公告日2021-05-27

    原文格式PDF

  • 申请/专利权人 FUJIFILM CORPORATION;

    申请/专利号US202017089673

  • 发明设计人 SHUMPEI KAMON;

    申请日2020-11-04

  • 分类号G06K9/62;G06N3/08;G16H30/40;G16H30/20;

  • 国家 US

  • 入库时间 2022-08-24 18:55:09

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