Organ lesion detection method and electronic equipment, and neuron network training method and electronic equipment

Abstract

An organ lesion detection method includes the following steps: acquiring image data of a first organ, wherein the image data includes a plurality of layers of image data; detecting the image data of the first organ through a trained multistage neuron network to get a first detection result; and determining whether there is lesion in the first organ based on the first detection result.

Description

technical field [0001] The invention relates to the field of medical image processing, in particular to a method for detecting organ lesions, an electronic device, and a method for training a neural network and the electronic device. Background technique [0002] Under the action of various tumorigenic factors, the local histiocytes will proliferate to form neogrowth, because this neogrowth is mostly in the form of space-occupying blocky protrusions, called tumors. According to the cell characteristics of new organisms and the degree of harm to the body, tumors are divided into two categories: benign tumors and malignant tumors, and cancer is the general term for malignant tumors. [0003] Liver cancer is one of the deadliest cancers in the world. Malignant tumors on the liver grow rapidly and infiltrate, and are prone to bleeding, necrosis, ulcers, etc., and often have distant metastasis, resulting in emaciation, weakness, anemia, and loss of appetite. Sluggishness, fever,...

AI Technical Summary

Problems solved by technology

In the existing technology, doctors often analyze liver CT images to find tumors on the liver, which is not only time-consuming, but also has certain risks and is extremely inefficient

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