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Model training method and device, equipment and storage medium

A training method and technology for translating models, which are applied in the fields of model training methods, devices, equipment and storage media, can solve problems such as inability to translate information in different modalities, and inability to fully mine medical image information, so as to achieve unsupervised self-adaptation, Improves accuracy, overcomes the effect of very different distributions

Pending Publication Date: 2022-04-12
TENCENT TECH (SHENZHEN) CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] However, compared with natural images, the distribution of different modal information in medical images is very different. The above methods cannot fully mine the information in medical images, and translation between different modal information cannot be performed in medical images.

Method used

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  • Model training method and device, equipment and storage medium
  • Model training method and device, equipment and storage medium
  • Model training method and device, equipment and storage medium

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Embodiment Construction

[0135]In order to make the purpose, technical solution and advantages of the present application clearer, the implementation manners of the present application will be further described in detail below in conjunction with the accompanying drawings. Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present application as recited in the appended claims. The terminology used in the present disclosure is for the purpose of describing particular embodiments only, and is not intended to limit the present ...

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Abstract

The invention discloses a model training method and device, equipment and a storage medium, and belongs to the technical field of artificial intelligence. The method comprises the following steps: acquiring a first / second modal image and a classification label of the second modal image; inputting the first / second modal image into an image translation model to obtain a first translation image; inputting the first translated image into a classification network to obtain a first prediction probability, and inputting the second modal image into the classification network to obtain a second prediction probability; and calculating a structure consistency error based on the first / second prediction probability and the classification label, and carrying out backward error propagation training on the image translation model to obtain a trained image translation model. Through the first translation image, semantic information in the image is fully mined, and translation among different modal information in the image is realized; and the image translation model is trained by using the structure consistency error, so that the accuracy of translating the image can be improved, and unsupervised self-adaption in the medical image is realized.

Description

technical field [0001] The present application relates to the field of artificial intelligence, in particular to a model training method, device, equipment and storage medium. Background technique [0002] Image translation is used to translate and transform images of different modalities. Different modal images are caused by different techniques for obtaining images, or different modal images are caused by different styles of images. [0003] In related technologies, when performing image translation on natural images, the translation between different modal information is usually performed through image style transfer and unsupervised training to realize Unsupervised Domain Adaptation (UDA). [0004] However, compared with natural images, the distribution of different modal information in medical images is very different. The above methods cannot fully mine the information in medical images, and translation between different modal information cannot be performed in medical...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/08G06N3/04G06K9/62G06V20/70G06V10/82G06V10/764
Inventor 何楠君谢青松李悦翔马锴郑冶枫
Owner TENCENT TECH (SHENZHEN) CO LTD
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