Burn area segmentation system based on pulse neural network U-shaped model

Abstract

The invention discloses a burn area segmentation system based on a pulse neural network U-shaped model, which comprises an image acquisition device and a neural network, and is characterized in that the image acquisition device is used for acquiring a burn image of a burn part of a patient, and the neural network comprises the pulse neural network U-shaped model and a pulse coupling neural network; the pulse neural network U-shaped model comprises a neuron membrane potential updating and pulse emitting layer, a lower sampling layer, an upper sampling layer, a feature fusion layer and a loss optimization module, training of burn area segmentation is carried out through the collected image, a burn area is segmented through the trained pulse neural network U-shaped model, and a burn area segmentation result is obtained. And the pulse coupling neural network calculates an adaptive threshold to binarize the segmentation result of the burn region to obtain a visualization result.

Description

technical field [0001] The invention relates to the field of burn medical image processing, in particular to a burn region segmentation system based on a U-shaped model of a pulse neural network. Background technique [0002] Burns are damage to human tissue caused by heat (flame, hot liquid, hot steam), electric current, radiation, chemical substances, etc. Burns are not only damage to the skin, but can also reach deep into the muscles and bones, and severe cases can cause shock and infection. It takes 21 days for a deep burn wound to heal, and surgical treatment is often required. After recovery, the skin loses its elasticity, is dry and has no exudate, requires surgical skin grafting treatment, and scars appear after healing. [0003] Medical image processing of burns has a crucial impact on the treatment of burns. In general, correct early treatment can reduce the degree of burn injury, complications and mortality. However, the existing detection methods, which are si...

AI Technical Summary

Problems solved by technology

However, the existing detection methods, which are similar to tissue biopsy technology, living body staining detection technology, thermal imaging technology and other methods, are complex and expensive, so they have not been used on a large scale in clinical practice.

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