Deep venous thrombolysis curative effect prediction method and system, storage medium and terminal

Abstract

The invention discloses a deep venous thrombolysis curative effect prediction method and system, a storage medium and a terminal. The method comprises the following steps: acquiring an MRI image of alower limb deep venous thrombosis patient; training the MRI image based on a semantic segmentation network to obtain a deep learning semantic segmentation model; extracting high-dimensional semantic features of lower limb deep vein thrombosis by adopting the deep learning semantic segmentation model, and performing feature screening on the high-dimensional semantic features by adopting a clustering algorithm; and performing lower limb deep venous thrombolysis curative effect prediction by adopting a thrombolysis curative effect prediction algorithm according to the screened semantic features to obtain a lower limb deep venous thrombolysis curative effect prediction result, and outputting the result. Based on the deep learning semantic segmentation network and the magnetic resonance image,the relation model between the semantic features and the thrombolysis curative effect of the thrombus is established, the thrombolysis curative effect of the thrombus of the patient is effectively predicted, the burden of doctors is relieved, and the diagnosis efficiency is improved.

Description

technical field [0001] The present invention relates to the technical field of medical image processing, in particular to a method and system for predicting the curative effect of thrombolysis in deep vein thrombosis of lower extremities based on a semantic segmentation model, a storage medium and a terminal. Background technique [0002] Deep vein thrombosis (Deep Vein Thrombosis, DVT) is a disease caused by abnormal coagulation of blood in deep veins, which usually occurs in the lower extremities. The annual incidence is about 0.1%, and it has become the third major cardiovascular disease. In addition to causing symptoms such as swelling and pain in the lower extremities, DVT may also lead to serious complications such as pulmonary embolism, which may even be life-threatening. [0003] Since the onset of lower extremity DVT is relatively insidious, the symptoms and signs are atypical and easily confused with other diseases, making the symptomatic diagnosis of the disease u...

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Problems solved by technology

[0009] In view of the above-mentioned deficiencies in the prior art, the purpose of the present invention is to provide a method and system, storage medium and terminal for predicting the curative effect of thrombolysis in deep vein thrombosis of lower extremities based on semantic segmentation model, aiming to solve the problem that the prior art is based on the extraction of thrombus ROI region. The characteristics of radiomics often need to manually outline the thrombus, which is time-consuming, laborious, and highly subjective; at the same time, the technical process of feature screening is complicated, and the internal relationship between data cannot be fully explored

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