Multi-modal medical data fusion evaluation method and device, equipment and storage medium

Abstract

The invention relates to the technical field of medical treatment, and discloses a multi-modal medical data fusion evaluation method and device, equipment and a storage medium. The method comprises the steps of obtaining multi-modal to-be-evaluated medical data of a target object; performing feature extraction on the to-be-evaluated medical data of each mode to obtain a plurality of feature vectors, and performing fusion to obtain a fused feature vector; and inputting the fusion feature vector into a trained multi-modal fusion evaluation model to obtain an evaluation result output by the model. According to the method, feature extraction and feature fusion are carried out on the multi-modal medical data based on artificial intelligence to obtain the fusion feature vector, and the illness state remission degree of the target object is predicted and evaluated by using the multi-modal fusion evaluation model based on the fusion feature vector, so that the illness state remission degree under a pathological level can be assisted to be accurately evaluated, the judgment accuracy is improved, and medical risks are reduced. The invention further discloses evaluation of multi-modal medical data fusion.

Description

technical field [0001] The present application relates to the field of medical technology, for example, to an evaluation method, device, equipment and storage medium for multimodal medical data fusion. Background technique [0002] Rectal cancer is one of the main cancers that threaten the life and health of Chinese residents, and has caused a serious social burden. The main treatment methods for rectal cancer include comprehensive treatment methods such as surgery, radiotherapy, chemotherapy, and targeted therapy. Although there are standardized comprehensive treatment methods, the damage caused by tumor or surgery in patients with low rectal cancer may lead to impaired anal function, anal loss, and colostomy, which seriously affect the survival and treatment of patients. Many patients with locally advanced rectal cancer are not suitable for surgical treatment because one-stage surgery cannot achieve the goal of radical cure. Currently, the standard treatment for locally ...

AI Technical Summary

Problems solved by technology

[0005] Embodiments of the present disclosure provide an evaluation method, device, equipment, and storage medium for multi-modal medical data fusion to solve the problem that it is difficult for clinicians to accurately evaluate the patient's condition in a manual way in related technologies, resulting in relatively low medical risk for patients. high technical issues

Images