Cerebral hemorrhage automatic detection method based on brain auxiliary image and electronic medium

Abstract

The invention discloses a cerebral hemorrhage automatic detection method based on a brain auxiliary image and an electronic medium, and is applied to the technical field of image processing, and the method comprises the steps: carrying out the CT scanning of the head of a patient, and obtaining a brain CT image; generating a brain auxiliary image according to the brain CT image; and inputting thebrain CT image and the brain auxiliary image into a pre-trained neural network, automatically detecting a cerebral hemorrhage area in the brain CT image in combination with the brain auxiliary image,and outputting a mask including the cerebral hemorrhage area and type. According to the invention, the brain auxiliary image and the brain CT image scanned by the patient are combined for use, the cerebral hemorrhage area and type identification accuracy of the neural network is improved, the technical requirements of doctors in the diagnosis process are reduced, and the diagnosis efficiency is greatly improved.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an automatic detection method of cerebral hemorrhage based on an auxiliary brain image and an electronic medium. Background technique [0002] Computer-aided detection and analysis of cerebral hemorrhage in CT images is to identify and analyze the type and area of ​​cerebral hemorrhage in the image. It is very important for the follow-up treatment of stroke. The image processing software of cerebral hemorrhage in the prior art can detect the cerebral hemorrhage image and output the type and area of ​​cerebral hemorrhage, and the detection is mostly based on the method of artificial intelligence, that is, first construct the neural network, and then use the artificially marked data Set, and then use this data set to train the neural network. [0003] Currently public AI-assisted analysis methods for cerebral hemorrhage usually input the image of cerebral hemorrhage into...

AI Technical Summary

Problems solved by technology

However, in fact, there are many similarities between each type of cerebral hemorrhage. For example, the CT value is not much different, and there are many similarities in shape. Just relying on input cerebral hemorrhage images for training does not necessarily get very accurate results. , so doctors need to make a diagnosis based on the combination of CT value and brain anatomical structure

[0004] At the same time, if the image of cerebral hemorrhage is input, the spatial structure or anatomical information is used as a guide, which is easy to cause errors

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