Predictive image generation method and predictive image generation device
A technology for predicting images and generating devices, applied in the medical field, can solve problems such as the inability to accurately and visually predict the future evolution of lesions
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Embodiment 1
[0032] refer to figure 1 , which shows a flow chart of steps of a method for generating a predicted image according to Embodiment 1 of the present invention, which may specifically include the following steps:
[0033] Step 101: Obtain characteristic information of the patient.
[0034] In the embodiment of the present invention, the characteristic information of the patient may include: the patient's age, weight, symptoms, test items in the case, and the like.
[0035] Preferably, the step 101 may include: receiving medical record data of the patient; extracting characteristic information of the patient from the medical record data.
[0036] When the patient goes to the hospital for physical examination, he will fill in the medical record data form according to the requirements of the hospital. The medical record data form also requires the patient to fill in personal information, such as name, age, height, weight, etc., and after each physical examination item is checked ,...
Embodiment 2
[0070] refer to figure 2 , which shows a flow chart of steps of a method for generating a predicted image according to Embodiment 2 of the present invention, which may specifically include the following steps:
[0071] Step 201: Obtain characteristic information of the patient.
[0072] In the embodiment of the present invention, the characteristic information of the patient may include: the patient's age, weight, symptoms, test items in the case, and the like.
[0073] After acquiring the characteristic information of the patient, go to step 202 .
[0074] Step 202: According to the characteristic information of the patient, determine the first cluster type to which the patient belongs among the patient cluster types.
[0075] In the embodiment of the present invention, the patient clustering type is a clustering type obtained in advance through a clustering algorithm according to the characteristic information of the sample patient, and each clustering type corresponds to...
Embodiment 3
[0094] refer to image 3 , which shows a schematic structural diagram of a predictive image generation device according to Embodiment 3 of the present invention, which may specifically include the following modules:
[0095] A feature information acquisition module 301, configured to acquire feature information of the patient;
[0096] The feature information acquisition module 301 may include:
[0097] A medical record data receiving submodule, configured to receive the patient's medical record data;
[0098] The characteristic information extraction submodule is used to extract the characteristic information of the patient from the medical record data.
[0099] Disease course stage determination module 302, configured to determine the disease course stage corresponding to the lesion image of the patient according to the characteristic information of the patient;
[0100] The predicted lesion image generating module 303 is configured to input the lesion image and the disea...
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