Gastric cancer TNM staging prediction system based on multi-modal deep learning
A deep learning and prediction system technology, applied in the field of medical artificial intelligence, can solve problems such as insufficient processing tasks, and achieve the effect of reducing the workload of reading images and improving medical interpretability
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[0029] The present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be noted that the following embodiments are intended to facilitate the understanding of the present invention, but do not limit it in any way.
[0030] A gastric cancer TNM staging prediction system based on multimodal deep learning, comprising a computer memory, a computer processor, and a computer program stored in the computer memory and executable on the computer processor, the computer memory is stored with a data acquisition module, an image Preprocessing module, text preprocessing module, predictive model training module and prediction module. The specific application process of each module is introduced in detail below.
[0031] 1. Data acquisition module
[0032] The desensitized data of 284 patients with gastric cancer in the imaging department of the hospital were collected. In addition to computed tomography (CT) images, the...
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