Focus detection method, device and equipment based on visual angle decoupling Transform model and medium

Abstract

The invention discloses a focus detection method, device and equipment based on a visual angle decoupling Transform model and a storage medium, and the method comprises the steps: obtaining MRI image data of a to-be-detected user, and carrying out the preprocessing of the MRI image data; acquiring slice data according to the preprocessed MRI image data, and inputting the slice data into a pre-trained focus detection model; performing feature extraction on the slice data to obtain high-level feature data; fusing the high-level feature data on different scales through different visual angles to obtain high-level feature prediction data; and predicting the focus of the to-be-detected user through the high-level feature prediction data. The extracted feature data are fused at different scales through different view angles, so that context information of input slices can be enhanced, multi-scale feature prediction is realized, the positioning precision of a focus is improved, a very strong recognition effect on early tumors is achieved, and the detection accuracy is effectively improved.

Description

technical field [0001] The invention relates to the technical fields of deep learning and medical imaging, and in particular to a method, device, device and storage medium for lesion detection based on a perspective decoupling Transformer model Background technique [0002] With the continuous improvement of the economic level and the rapid development of medical technology, people have higher demands for health. Therefore, medical imaging technology has been innovated and developed vigorously. The scientific use of medical image analysis to efficiently and accurately analyze tissue and cell images. Classification can help doctors better explore the path of treatment of lesions. [0003] At present, in traditional lesion detection, taking brain tumor as an example, template matching is usually used to calculate the position of a predefined brain tumor template in the image. These methods are affected by the inaccuracy of hand-designed features; in addition, lesion segmentati...

AI Technical Summary

Problems solved by technology

[0005] Based on this, it is necessary to address the above technical problems and provide a lesion detection method, device, equipment and storage medium based on the perspective decoupling Transformer model to solve the problem of small early lesions in the prior art in automatic brain tumor detection. Detection, problems affecting detection accuracy

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