深度学习模型在侵袭性垂体腺瘤诊疗中的应用OACSTPCD

Pituitary adenomas are generally considered benign tumors,but approximately one third of the lesions invade the surrounding normal tissues.As the main methods to evaluate the invasiveness of pituitary adenomas in clinical practice,Knosp grades and Hardy grades have significant limitations.Deep learning belongs to the hot field of machine learning of artificial intelligence,which is an emerging technology based on artificial neural network.The deep learning model can automatically analyze the preoperative image data of pituitary adenoma,improve the accuracy of diagnosis of tumor invasiveness,and help to better determine the surgical approach and resection methods,which has great application prospects in clinical diagnosis and treatment.