基于深度学习的人工智能技术在腮腺肿瘤诊治的实践及思考  

The application of artificial intelligence technology based on deep learning in the diagnosis and treatment of parotid gland tumors:practice and thinking

作　　者：龙洁[1] 王培涵 LONG Jie;WANG Peihan(Department of Oral and Maxillofacial Surgery,West China Hospital of Stomatology,Sichuan University,National Clinical Research Center for Oral Diseases,National Center for Stomatology,State Key Laboratory of Oral Diseases,Chengdu 610041,China)

机构地区：[1]口腔疾病防治全国重点实验室·国家口腔医学中心·国家口腔疾病临床医学研究中心·四川大学华西口腔医院口腔颌面外科,四川成都610041

出　　处：《西部医学》2023年第11期1561-1565,共5页Medical Journal of West China

基　　金：四川省科技计划重点研发项目(2022YFS0123)。

摘　　要：基于深度学习的人工智能技术已被广泛应用于计算机视觉领域,在医学图像处理方面,基于卷积的深度学习神经网络具备较好的智能学习和目标区域关键信息分析处理能力,在各类医学影像的图像分割实践中表现出近似于甚至高于专业人员的智能水平。腮腺是唾液腺肿瘤好发的腺体,腮腺肿瘤是口腔颌面外科的常见病和多发病,对腮腺肿瘤的精准诊疗仍存在临床挑战。本研究围绕深度学习技术在腮腺肿瘤智能诊疗的应用和前景作一述评,希冀推动口腔智慧医疗的进一步深化及发展。Artificial intelligence technology based on deep learning has been widely used in the field of computer vision.In medical image processing,convolutional neural networks have good intelligent learning and key information analysis capabilities in the target area,and shows an intelligence level similar to or even higher than that of professionals in segmentation of various medical images.Parotid gland tumor is a common and frequently-occurring disease in oral and maxillofacial surgery,and there are still some clinical challenges for the accurate diagnosis and treatment of parotid gland tumor.In this paper,the author discussed and analyzed the application and prospect of deep learning technology in the intelligent diagnosis and treatment of parotid tumors,hoping to promote the further application and development of artificial intelligence technology in oral medicine.

关 键 词：人工智能 深度学习 卷积神经网络 腮腺肿瘤 

分 类 号：R739.87[医药卫生—肿瘤]