Research progress of deep learning in automatic segmentation of aortic images
In the field of medical image processing,accurate image segmentation is crucial for the diagnosis and treat-ment planning of aortic diseases.Deep learning techniques,especially convolutional neural networks,have made signifi-cant progress in medical image segmentation tasks in recent years.This article reviewed the research on the application of deep learning models to the automatic segmentation of aortic lesion images,summarized the contributions of these current techniques to improving the segmentation accuracy and efficiency,and discussed the challenges faced by existing methods and more possibilities and directions for future research.
Deep learningAortic image segmentationConvolutional neural networksAortic diseaseComputer vision
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