Abdominal lymph node partitioning method based on attention mechanism neural network

Abstract

The invention relates to the technical field of abdominal lymph node partitioning, in particular to an abdominal lymph node partitioning method based on an attention mechanism neural network. The abdominal lymph node partitioning method based on the attention mechanism neural network is used for solving the problems that in the prior art, a doctor has a large difference in film reading results ofthe same abdominal CT medical image, and prediction of abdominal lymph node partitioning is inaccurate. The method comprises the following steps: step 1, preparing data; step 2, generating a mask, andpreprocessing the data; step 3, constructing an attention mechanism residual network model; step 4, repeating the step 3, and constructing and training a model of lymph node relative position partitioning; and step 5, classifying the abdominal lymph nodes automatically detected by the detection task by using the model trained in the step 3 and the step 4. According to the method, the original CTimage and the mask are overlapped to serve as input, and the attention mechanism is introduced into the deep residual neural network, so that the abdominal lymph nodes in the CT image can be accurately partitioned.

Description

technical field [0001] The present invention relates to the technical field of abdominal lymph node division, and more specifically relates to an abdominal lymph node division method based on an attention mechanism neural network. Background technique [0002] In the prior art, lateral pelvic lymph node metastasis is one of the common forms of metastasis and recurrence of colorectal cancer in clinical practice. For T3 and T4 low rectal cancer below the peritoneal reflection, routine dissection of the lateral pelvic lymph nodes is required, and full abdominal enhanced CT Scanning is an important imaging method commonly used in clinic to judge the location and quality of the lateral lymph nodes of colorectal cancer, and it is one of the main ways for clinicians to identify whether the lateral lymph nodes have metastasized. No matter how difficult the task is, due to the complex distribution of abdominal organs, it is difficult to define the division of abdominal lymph nodes. W...

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Problems solved by technology

[0005] Based on the above problems, the present invention provides an abdominal lymph node partition method based on the neural network of the attention mechanism, which is used to solve the problem of large differences in the reading results of the same abdominal CT medical image by doctors in the prior art and the prediction of abdominal lymph node partition. inaccurate question

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