中华脑科疾病与康复杂志（电子版）2023，Vol.13Issue(6)：382-384,3.DOI:10.3877/cma.j.issn.2095-123X.2023.06.012
深度学习模型在侵袭性垂体腺瘤诊疗中的应用
Application of deep learning model in the diagnosis and management of invasive pituitary adenomas
王守森 1方翌 1冯添顺 1魏梁锋1
作者信息
- 1. 350025 福州,解放军联勤保障部队第九○○医院神经外科
- 折叠
摘要
Abstract
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.关键词
侵袭性垂体腺瘤/深度学习模型/人工智能/诊断Key words
Invasive pituitary adenoma/Deep learning model/Artificial intelligence/Diagnosis引用本文复制引用
王守森,方翌,冯添顺,魏梁锋..深度学习模型在侵袭性垂体腺瘤诊疗中的应用[J].中华脑科疾病与康复杂志（电子版）,2023,13(6):382-384,3.
