基于深度学习的肾上腺CT图像分割研究综述OA

Adrenal glands are tiny endocrine organs that play an important role in controlling blood pressure,heart rate,and other activities regulated by the sympathetic nervous system,and adrenal CT image segmentation is one of the key technologies in the intelligent diagnosis of adrenal-related diseases.In recent years,deep learning methods have played an important role in the automatic segmentation of adrenal CT images,which has driven the continuous progress in this field.In this paper,we systematically summarize the image preprocessing strategies,convolutional neural network and Transformer,and other deep learning models commonly used in existing research,and sort out the current re-search status of adrenal segmentation based on deep learning in the diagnosis of adrenal-related diseases.Finally,the future development di-rection of adrenal CT image segmentation in terms of dataset construction,model optimization and multi-task joint analysis is discussed,aim-ing to provide references for related research and clinical applications.