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Prostate cancer pathologic step prediction method based on deep learning

机译:基于深度学习的前列腺癌病理步骤预测方法

摘要

The present invention relates to a method for predicting pathological stages of prostate cancer based on deep learning. The deep learning based prostate cancer pathological stage prediction method according to the present invention is for predicting the pathological stage of prostate cancer using artificial intelligence neural networks learned through deep learning, and variables affecting the prostate cancer , Deriving a first result value by inputting the artificial intelligence neural network to which different weights are assigned to each pathological step; And re-entering the first result value into the modified value of the artificial intelligence neural network but deriving a second result value while changing the weight.
机译:基于深度学习的前列腺癌的病理分期预测方法技术领域本发明涉及基于深度学习的前列腺癌的病理分期预测方法。根据本发明的基于深度学习的前列腺癌病理阶段预测方法用于使用通过深度学习学习的人工智能神经网络以及影响前列腺癌的变量来预测前列腺癌的病理阶段,通过输入人工来得出第一结果值智能神经网络,为每个病理步骤分配不同的权重;并且将第一结果值重新输入到人工智能神经网络的修改值中,但是在改变权重的同时得出第二结果值。

著录项

  • 公开/公告号KR102142754B1

    专利类型

  • 公开/公告日2020-08-07

    原文格式PDF

  • 申请/专利权人 가톨릭대학교 산학협력단;

    申请/专利号KR20180032767

  • 发明设计人 최인영;김재권;노미정;

    申请日2018-03-21

  • 分类号G16H50/20;G16H50/30;

  • 国家 KR

  • 入库时间 2022-08-21 11:04:06

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