Brain image segmentation method and device, computer equipment and readable storage medium

Abstract

The invention relates to a brain image segmentation method and device, computer equipment and a readable storage medium. The method comprises the steps that a brain CT image is acquired, wherein the brain CT image comprises adjacent multi-layer sectional images; the brain CT image is input into a preset segmentation model to obtain an intracranial hemorrhage segmentation result corresponding to the brain CT image, wherein the segmentation model is obtained by training according to the sample image, a segmentation gold standard and a classification gold standard, and the classification gold standard is used for representing a bleeding subtype of intracranial bleeding in the sample image. According to the method, the classification loss is used for guiding the segmentation model to carry outtraining, so that the precision of the segmentation model obtained by training can be greatly improved, and the precision of a brain CT image segmentation result is further improved. Meanwhile, the brain CT image is an adjacent multi-layer sectional image, so that the context information among all layers of images can be fully considered, and the precision of the obtained brain CT image segmentation result is further improved.

Description

technical field [0001] The present application relates to the technical field of image processing, in particular to a brain image segmentation method, device, computer equipment and readable storage medium. Background technique [0002] Intracranial hemorrhage (ICH) refers to the hemorrhage caused by the rupture of blood vessels in the brain, which will cause damage to brain cells and at the same time compress the surrounding nerve tissue and cause other obstacles, which will have a greater impact on the patient's health. In the current field of clinical medicine, doctors usually determine the location of intracranial hemorrhage by watching the patient's CT images; with the continuous development of deep learning technology, there are already deep learning-based intracranial hemorrhage segmentation methods to assist doctors in determining the location of intracranial hemorrhage. To improve the doctor's work efficiency. [0003] Before using the deep learning network to segm...

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Problems solved by technology

[0005] Based on this, it is necessary to provide a brain image segmentation method, device, computer equipment and readable storage medium f

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