Tumour early-screening method, tumour early-screening device and tumour early-screening terminal equipment based on deep learning and medium

Abstract

The invention discloses a tumour early-screening method, a tumour early-screening device and tumour early-screening terminal equipment based on deep learning and a computer-readable storage medium. The method comprises the following steps: acquiring a gene sequence of a sample after gene sequencing; carrying out data analysis on the gene sequence to acquire valid expression levels of target genes;predicting class attributes of the sample through a tumor classification model according to the expression levels of the target genes; and acquiring probability of each class attribute to generate adisease risk recommendation according to a class attribute of highest probability. Costs are low, a cycle is short, and the method is suitable for use on various groups of people.

Description

technical field [0001] The invention relates to the field of computer medical technology, in particular to a method, device, terminal equipment and computer-readable storage medium for early tumor screening based on deep learning. Background technique [0002] Existing technologies for early screening of tumors include: serological tumor markers (such as embryonic antigens, tumor antigens, enzymes and isoenzymes, plasma proteins, cell metabolites, ectopic hormones, oncogenes and tumor suppressor gene protein products and some trace elements, etc.), imaging (such as ultrasound, CT, MRI, PET, PET-CT), circulating tumor cells (CTC) and circulating tumor DNA (ctDNA) detection, etc. [0003] In the process of realizing the present invention, the inventor finds that there are at least the following problems in the prior art: [0004] The serological tumor marker solution is a relatively popular solution at present, and it has a suggestive effect on the tumor census of specific re...

AI Technical Summary

Problems solved by technology

[0005] Imaging method screening is mainly used in the diagnosis of advanced tumors, and has a certain effect on the detection of some early cancers. Although it can quickly locate the tumor location, there are relatively large side effects when taking radioactive tracers, and precancerous lesions cannot be found. Inability to distinguish between benign and malignant tumors

Taking CT as an example, CT scan screening is a time-consuming and expensive solution, and its diagnosis of the gastrointestinal system has defects. Tumors are especially difficult

Low efficiency of MRI examination, difficult qualitative diagnosis, and insensitive to calcified lesions

PET-CT must use a small amount of radioactive isotopes, resulting in a small amount of residue in the body, and the cost of diagnosis and treatment is extremely high

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