Method and device for predicting abnormal cell metastasis degree and storage medium

An abnormal cell and degree technology, applied in the field of medical image processing, can solve the problems of long time-consuming requirements of pathologists, fluctuation of interpretation indicators, wrong decision-making, etc., and achieve the effect of improving prediction accuracy, easy acquisition, and assisting preoperative decision-making

Pending Publication Date: 2021-11-26
TENCENT TECH (SHENZHEN) CO LTD
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Problems solved by technology

Since such interpretation has high requirements for pathologists and takes a long time, and there are differences among different laboratories, it will lead to fluctuations in the interpretation indicators
This can lead to wrong decisions

Method used

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  • Method and device for predicting abnormal cell metastasis degree and storage medium
  • Method and device for predicting abnormal cell metastasis degree and storage medium
  • Method and device for predicting abnormal cell metastasis degree and storage medium

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Embodiment Construction

[0032] Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this application will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The same reference numerals denote the same or similar parts in the drawings, and thus their repeated descriptions will be omitted.

[0033]Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided in order to give a thorough understanding of the embodiments of the application. However, those skilled in the art will appreciate that the technical solutions of the present application may be practiced without one or more...

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Abstract

The invention provides a method for predicting the abnormal cell metastasis degree based on medical data by using artificial intelligence. The method comprises the following steps: acquiring medical data of a plurality of modalities related to abnormal cells; extracting single-mode features of the medical data of each mode from the medical data of the multiple modes; fusing the extracted single-mode features to obtain cross-mode fusion features of the medical data of the multiple modes; adjusting each single-mode feature by using the cross-mode fusion feature as a global feature; obtaining multi-modal features of the medical data of the multiple modals based on the adjusted single-modal features; and predicting the abnormal cell transfer degree according to the multi-modal characteristics. Through the method and the device for predicting the abnormal cell metastasis degree based on the medical data, fusion of pathological information of different modes of a patient is realized, multi-mode information resources of the patient are fully utilized, and the prediction accuracy of abnormal cell lymphatic metastasis is improved.

Description

technical field [0001] The invention relates to the field of medical image processing, in particular to a method, device, computing device and computer-readable storage medium for predicting the degree of abnormal cell metastasis. Background technique [0002] At present, artificial intelligence technology is widely used in various medical engineering. Artificial intelligence networks have been used to assist doctors in making decisions based on the characteristics of different diseases. [0003] In clinical diagnosis, doctors usually make decisions based on the pathological images of the patient's lesion tissue and the patient's clinical diagnosis information. In some related technologies, a neural network model (such as a fully connected neural network) is used to predict the state of a patient's lesion tissue based on the patient's clinical information. However, because the content of clinical information is a limited description of the patient's condition, it cannot fu...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G16H50/20
Inventor 杨帆李航姚建华邢小涵赵宇
Owner TENCENT TECH (SHENZHEN) CO LTD
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